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Построим GPT: с нуля и шаг за шагом

Скорее всего все читатели Хабра слышали про chatGPT и знают как он работает. В этой статье, я повторю GPT и обучу на небольшом датасете, в основном пользуясь материалами из видео Andrej Karpathy. Спасибо за помощь в написании статьи и понимании того, что происходит команде из Школы Высшей Математики - у них одна из самых сильных команд по NLP и LLM с преподавателями из ВШЭ и ШАД.

Attention is all you need

Когда мы вводим запрос в chatGPT - ответ следует токен за токеном, слева направо. Это связано с тем, что GPT это sequence to sequence модель, которая расшифровывает как Generative Pre-trained Transformer. Именно эту архитектуру, я и реализую в этой статье.

Transformer исходит из знаменитой статьи 2017 года - Attention is all you need. Изначально, статья была для машинного перевода, однако в последующие несколько лет ее использовали для разного вида задач. В фундаменте chatGPT также лежит архитектура трансфомера.

236fe9355cd67dfff84f3bcd9e16b1cb.png

Датасет

Чтобы повторить chatGPT нужно собрать огромный массив данных (весь интернет) и обучить на большом количестве видеокарт. Так как у меня нет возможности процессить эти данные - я повторю GPT на небольшом датасете всех произведений Шекспира.

Cкачиваем датасет Шекспира

!wget https://raw.githubusercontent.com/karpathy/char-rnn/master/data/tinyshakespeare/input.txt
with open('input.txt', 'r', encoding='utf-8') as f:
    text = f.read()
print("length of dataset in characters: ", len(text))

В датасете содержится около 1 миллиона (1115394) символов. Если посмотреть на количество уникальных символов - их 65, это различные символы пунктуации и буквы.

!$&',-.3:;?ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz

Это все типы символов, который модель сможет увидеть и предсказать. Например, символа < нет в датасете и модель не сможет его увидеть, и соответственно предсказать.

Токенизация

Почти все модели машинного обучения имеют loss функцию для обучения. Для того, чтобы посчитать loss функцию нам нужно перевести текст в понятные для компьютеры цифры. В нашем случае, мы по сути будем переводить строку в целые числа, и из целых чисел обратно в строку на уровне символов.

В нашей модели всего 65 различных символов. Переменная stoi переводит символы в индексы, itos индексы символы. Энкодер переводит целую строку в целые числа, а декодер целые числа в строку. Для понимания -- маленькая буква a будет токеном 39, потому что она 39 в списке.

!$&',-.3:;?ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz

# create a mapping from characters to integers
stoi = { ch:i for i,ch in enumerate(chars) }
itos = { i:ch for i,ch in enumerate(chars) }
encode = lambda s: [stoi[c] for c in s] # encoder: take a string, output a list of integers
decode = lambda l: ''.join([itos[i] for i in l]) # decoder: take a list of integers, output a string

print(encode("llm is cool"))
print(decode(encode("llm is cool")))

Это один из самых простых видов токенизации - openAI например использует BPE (Byte pair encoding) токенайзер. Но для упрощения и понимания, мы оставим токенайзер на уровне символов.

Теперь мы можем приступить к токенизации всего датасета. Мы возьмем весь наш датасет из Шекспира, и сделаем энкодинг 1 миллиона символов в целые числа. 

import torch # we use PyTorch: https://pytorch.org
data = torch.tensor(encode(text), dtype=torch.long)

Получился тензор размером torch.Size([1115394]) torch.int64

Первые 10 символов выглядят как 

tensor([18, 47, 56, 57, 58,  1, 15, 47, 58, 47])

Что соответствует первым 10 символам из текста.

First Citi

F находится на 18 месте, i на 47, r на 56 и так далее

Теперь, мы можем разделить наш датасет на трэйн/тест. Это стандартная практика в машинном обучении, для того чтобы провалидировать модель на данных, которых не было в трэйн датасете.

n = int(0.9*len(data)) # first 90% will be train, rest val
train_data = data[:n]
val_data = data[n:]

Теперь возьмем блок данных, состоящий из 8 символов. 

block_size = 8
print(train_data[:block_size+1])
print(text[:block_size+1])

На выходе это будет в целых числах tensor([18, 47, 56, 57, 58, 1, 15, 47, 58]) и текстом First Cit

Даталоадер

Сделаем очень простой даталоадер для обучения нашей модели. Этот код создает мини-батчи данных для обучения модели- это сильно упрощенная версия загрузки данных, где нет полноценного класса DataLoader.

torch.manual_seed(42)
batch_size = 4 # how many independent sequences will we process in parallel?
block_size = 8 # what is the maximum context length for predictions?

def get_batch(split):
    # generate a small batch of data of inputs x and targets y
    data = train_data if split == 'train' else val_data
    ix = torch.randint(len(data) - block_size, (batch_size,))
    x = torch.stack([data[i:i+block_size] for i in ix])
    y = torch.stack([data[i+1:i+block_size+1] for i in ix])
    return x, y

xb, yb = get_batch('train')

  • batch_size = 4: Определяет, сколько независимых последовательностей данных будет обрабатываться параллельно в одном батче.

  • block_size = 8: Определяет максимальную длину контекста для предсказания следующего элемента.

Функция get_batch(split):

  • Эта функция принимает на вход split (либо ‘train’, либо ‘val’) для выбора набора данных: тренировочный (train_data) или валидационный (val_data).

  • Сначала случайным образом выбираются индексы в пределах доступных данных (в зависимости от длины данных и block_size).

• После этого создаются два тензора: x и y:

• x: это входные последовательности длиной block_size.

• y: это целевые последовательности, которые на один шаг смещены относительно x (то есть y содержит следующие элементы после каждого элемента в x).

  • Эта функция возвращает батч данных x и соответствующие им целевые значения y.

Если посмотреть на тензор xb, то он выглядит так

tensor([[24, 43, 58,  5, 57,  1, 46, 43],
        [44, 53, 56,  1, 58, 46, 39, 58],
        [52, 58,  1, 58, 46, 39, 58,  1],
        [25, 17, 27, 10,  0, 21,  1, 54]])

Или текстом

Let's he
for that
nt that 
MEO:
I p

Bigram Language Model

Для создания бейзлайн модели будем использовать простую модель - Bigram Language Model.

Биграммная языковая модель оценивает вероятность каждого символа в тексте на основе только одного предыдущего символа, образуя пары символов (биграммы) для предсказания следующего символа в последовательности.

Ее основное преимущество - простая реализация, но она ограничена коротким контекстом, что снижает ее точность при работе с длинными зависимостями в языке.

Этот код реализует простую языковую модель на основе биграмм, используя PyTorch. Модель обучается предсказывать следующий токен на основе предыдущего и может генерировать новые последовательности токенов, используя вероятностный подход. 

import torch
import torch.nn as nn
from torch.nn import functional as F
torch.manual_seed(42)

class BigramLanguageModel(nn.Module):

    def __init__(self, vocab_size):
        super().__init__()
        
        self.token_embedding_table = nn.Embedding(vocab_size, vocab_size)

    def forward(self, idx, targets=None):

        logits = self.token_embedding_table(idx)
        if targets is None:
          loss = None
        else:
          B, T, C = logits.shape # it will be [4, 8, 65] in our case
          logits = logits.view(B*T, C) # [32, 65]
          targets = targets.view(B*T) # [32]
          loss = F.cross_entropy(logits, targets) 

        return logits, loss
    def generate(self, idx, max_new_tokens):
      for _ in range(max_new_tokens):
        logits, loss = self(idx)
        logits = logits[:, -1, :] # берем последний степ для bigram предсказания
        probs = F.softmax(logits, dim=-1)
        idx_next = torch.multinomial(probs, num_samples = 1)
        idx = torch.cat((idx, idx_next), dim = 1)
      
      return idx


m = BigramLanguageModel(vocab_size)
logits, loss = m(idx=xb, targets=yb)
print(logits.shape, logits, loss)
idx = torch.zeros((1,1), dtype = torch.long)
# принт ниже напринтит чушь, потому что модель не обучена
print(decode(m.generate(idx, max_new_tokens=100)[0].tolist()))

Создаем оптимайзер для обучения

optimizer = torch.optim.AdamW(m.parameters(), lr=1e-3)

И далее мы создаем обучаем модель на 10000 шагах

batch_size = 32
for steps in range(10000): # increase number of steps for good results...

    # sample a batch of data
    xb, yb = get_batch('train')

    # evaluate the loss
    logits, loss = m(xb, yb)
    optimizer.zero_grad(set_to_none=True)
    loss.backward()
    optimizer.step()
print(loss.item())

Посмотрим на полученный результат

Hin, ha, hainds t at fl ff f vonearlalininllert's nodo ndere me, Hatheisher: So ineayo in's I dsane

Сильное улучшение по сравнению с рандомным выводом, которое было для этого. Конечно, это все еще не имеет никакого смысла и далеко не Шекспир, но для базовой модели уже похоже на язык.

Attention

В реализации биграмной модели, токены не были связаны между друг другом. По одному токену - мы предсказывали следующий. Сейчас мы хотим, чтобы токен находящийся например на 5 месте, учитывал все предыдущие токены с 0 по 4 место.

Какой самый легкий способ создать контекст для предыдущих токенов? Пожалуй усреднение всех предыдущих токенов. 

# We want x[b,t] = mean_{i<=t} x[b,i]
xbow = torch.zeros((B,T,C)) # нули
for b in range(B): # итерируем по батчам
    for t in range(T): # итерируем по времени
        xprev = x[b,:t+1] # (t,C) 
        xbow[b,t] = torch.mean(xprev, 0)

Для более эффективного вычисления мы используем матричное перемножение. Сумма элементов в матрице wei будет 1.0 и соответственно перемножая wei на x мы получим усреднение.

torch.manual_seed(42)
B, T, C = 4, 8, 2
x = torch.randn(B, T, C)

wei = torch.tril(torch.ones(T, T))
wei = wei / wei.sum(1, keepdim=True)
xbow2 = wei @ x # (B, T, T) @ (B, T, C) ----> (B, T, C)
torch.allclose(xbow, xbow2)

Сейчас если мы посмотрим на тензор Wei - мы увидим, что они распределены у нас равномерно.

tensor([[1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
        [0.5000, 0.5000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
        [0.3333, 0.3333, 0.3333, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
        [0.2500, 0.2500, 0.2500, 0.2500, 0.0000, 0.0000, 0.0000, 0.0000],
        [0.2000, 0.2000, 0.2000, 0.2000, 0.2000, 0.0000, 0.0000, 0.0000],
        [0.1667, 0.1667, 0.1667, 0.1667, 0.1667, 0.1667, 0.0000, 0.0000],
        [0.1429, 0.1429, 0.1429, 0.1429, 0.1429, 0.1429, 0.1429, 0.0000],
        [0.1250, 0.1250, 0.1250, 0.1250, 0.1250, 0.1250, 0.1250, 0.1250]])

Однако предложения в языке устроены сложнее и имеют неравномерную структуру. Для каждого символа (токена) разные токены имеют различную значимость, в то время как при усреднении все они рассматриваются одинаково. Эту проблему решает механизм self-attention, при котором для каждого токена вычисляются три параметра: key, query и value.

  • Key — это то, что содержит данный токен, его содержимое.

  • Query — это то, что данный токен “ищет”, или на что он обращает внимание.

  • Value — это то, что модель передаст в следующий слой после вычисления внимания.

Self-attention можно рассматривать как механизм коммуникации между токенами. Это похоже на граф, где каждый узел “смотрит” на другие и агрегирует информацию с помощью взвешенной суммы всех узлов, которые на него указывают. Эти веса зависят от данных и определяются на основе контекста токенов.

Важно отметить, что self-attention не учитывает пространственную структуру, так как работает исключительно с набором векторов. Именно поэтому необходимо позиционное кодирование токенов, чтобы модель могла учитывать порядок элементов в последовательности.

# Устанавливаем фиксированное значение для генератора случайных чисел, чтобы результаты были воспроизводимыми
torch.manual_seed(42)

# Задаем размеры входных данных: 
# B - размер батча (количество примеров в одной итерации),
# T - временные шаги,
# C - количество каналов (размер признакового пространства или число признаков).
B, T, C = 4, 8, 32  # batch, time, channels

# Создаем случайные данные с нормальным распределением, имитируя входные последовательности размером BxTxC
x = torch.randn(B, T, C)

# Определяем размер головы внимания (self-attention). Это размер вектора, на который будем проецировать ключи, запросы и значения.
head_size = 16

# Создаем три линейных слоя для ключей (key), запросов (query) и значений (value).
# Они преобразуют входные данные (размер C) в векторы размером head_size.
key = nn.Linear(C, head_size, bias=False)
query = nn.Linear(C, head_size, bias=False)
value = nn.Linear(C, head_size, bias=False)

# Применяем линейное преобразование к входным данным, получая ключи и запросы для каждого временного шага.
k = key(x)   # (B, T, 16) - матрица ключей
q = query(x) # (B, T, 16) - матрица запросов

# Вычисляем матрицу весов внимания через матричное произведение запросов и транспонированных ключей.
# Это вычисляет сходство между запросами и ключами. Размерность: (B, T, T)
wei = q @ k.transpose(-2, -1)

# Создаем нижнетреугольную матрицу (T x T), которая используется для маскирования будущих временных шагов
# в последовательности (например, для авторегрессии), чтобы модель не "смотрела" вперед во времени.
tril = torch.tril(torch.ones(T, T))

# Применяем маскирование: все элементы выше главной диагонали заменяются на -inf, чтобы исключить их при вычислении softmax.
wei = wei.masked_fill(tril == 0, float('-inf'))

# Применяем softmax к весам, чтобы они стали вероятностями. Это делается по последнему измерению (T).
wei = F.softmax(wei, dim=-1)

# Применяем линейное преобразование к входным данным для получения значений.
v = value(x)

# Вычисляем выходной результат как взвешенное среднее значений с использованием весов внимания.
out = wei @ v  # Размер выхода: (B, T, 16)

Посмотрим на полученную матрицу для первого батча wei[0]. Теперь мы видим, что она у нас не равномерная, и каждый элемент строки показывает степень внимания одного временного шага к другим. 

tensor([[1.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
        [0.1905, 0.8095, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
        [0.3742, 0.0568, 0.5690, 0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
        [0.1288, 0.3380, 0.1376, 0.3956, 0.0000, 0.0000, 0.0000, 0.0000],
        [0.4311, 0.0841, 0.0582, 0.3049, 0.1217, 0.0000, 0.0000, 0.0000],
        [0.0537, 0.3205, 0.0694, 0.2404, 0.2568, 0.0592, 0.0000, 0.0000],
        [0.3396, 0.0149, 0.5165, 0.0180, 0.0658, 0.0080, 0.0373, 0.0000],
        [0.0165, 0.0375, 0.0144, 0.1120, 0.0332, 0.4069, 0.3136, 0.0660]],
       grad_fn=<SelectBackward0>)

Значение 0.3136 в последнем ряду матрицы означает, что для последнего временного шага (восьмого) модель уделяет 31.36% своего внимания седьмому временному шагу при вычислении взвешенного значения (value). Это означает, что седьмой шаг оказывает значительное влияние на вычисление результата для восьмого шага.

Теперь, мы можем создать класс Head для механизма self-attention.

class Head(nn.Module):
    """ one head of self-attention """

    def __init__(self, head_size):
        super().__init__()
        self.key = nn.Linear(n_embd, head_size, bias=False)
        self.query = nn.Linear(n_embd, head_size, bias=False)
        self.value = nn.Linear(n_embd, head_size, bias=False)
        self.register_buffer('tril', torch.tril(torch.ones(block_size, block_size)))

        self.dropout = nn.Dropout(dropout)

    def forward(self, x):
        B,T,C = x.shape
        k = self.key(x)   # (B,T,C)
        q = self.query(x) # (B,T,C)
        # compute attention scores ("affinities")
        wei = q @ k.transpose(-2,-1) * C**-0.5 # (B, T, C) @ (B, C, T) -> (B, T, T)
        wei = wei.masked_fill(self.tril[:T, :T] == 0, float('-inf')) # (B, T, T)
        wei = F.softmax(wei, dim=-1) # (B, T, T)
        wei = self.dropout(wei)
        # perform the weighted aggregation of the values
        v = self.value(x) # (B,T,C)
        out = wei @ v # (B, T, T) @ (B, T, C) -> (B, T, C)
        return out

Мы реализовали механизм внимания с использованием скалярного произведения (dot-product attention). Если продолжить чтение статьи, то далее рассматривается Multi-Head Attention, который улучшает способность модели извлекать информацию из разных подпространств признаков, применяя несколько attention-голов параллельно.

dfbff5d589140204d9947a01e6d9069c.png
class MultiHeadAttention(nn.Module):
    """ multiple heads of self-attention in parallel """

    def __init__(self, num_heads, head_size):
        super().__init__()
        self.heads = nn.ModuleList([Head(head_size) for _ in range(num_heads)])
        self.proj = nn.Linear(n_embd, n_embd)
        self.dropout = nn.Dropout(dropout)

    def forward(self, x):
        out = torch.cat([h(x) for h in self.heads], dim=-1)
        out = self.dropout(self.proj(out))
        return out

Обучение модели

Для финального обучения модели я добавил класс, описанный в статье — Feed Forward. Его смысл в том, что он позволяет добавить нелинейность в модель, увеличивая размерность скрытого слоя и обрабатывая данные через два линейных слоя с функцией активации ReLU. Это помогает модели лучше улавливать сложные зависимости в данных, а Dropout используется для предотвращения переобучения.

model = BigramLanguageModel()
m = model.to(device)
# print the number of parameters in the model
print(sum(p.numel() for p in m.parameters())/1e6, 'M parameters')

# create a PyTorch optimizer
optimizer = torch.optim.AdamW(model.parameters(), lr=learning_rate)

for iter in range(max_iters):

    # every once in a while evaluate the loss on train and val sets
    if iter % eval_interval == 0 or iter == max_iters - 1:
        losses = estimate_loss()
        print(f"step {iter}: train loss {losses['train']:.4f}, val loss {losses['val']:.4f}")

    # sample a batch of data
    xb, yb = get_batch('train')

    # evaluate the loss
    logits, loss = model(xb, yb)
    optimizer.zero_grad(set_to_none=True)
    loss.backward()
    optimizer.step()

Обучение на моем компьютере заняло более часа, но все зависит от типа вашего GPU. Loss уже значительно меньше, чем в обычной Bigram модели - 1.8 вместо 4.7. 

step 3900: train loss 1.7219, val loss 1.8732
step 4000: train loss 1.7146, val loss 1.8576
step 4100: train loss 1.7136, val loss 1.8720
step 4200: train loss 1.7060, val loss 1.8653
step 4300: train loss 1.7032, val loss 1.8499
step 4400: train loss 1.7057, val loss 1.8656
step 4500: train loss 1.6907, val loss 1.8477
step 4600: train loss 1.6878, val loss 1.8371
step 4700: train loss 1.6808, val loss 1.8415
step 4800: train loss 1.6689, val loss 1.8457
step 4900: train loss 1.6716, val loss 1.8415
step 4999: train loss 1.6658, val loss 1.8275

Результат

При попытке сгенерировать следующие токены, мы получаем похожий на реального Шекспира текст.

Результат модели
Результат модели

Результат сильно превосходит обычную биграмную модель.

Hin, ha, hainds t at fl ff f vonearlalininllert's nodo ndere me, Hatheisher: So ineayo in's I dsane

Заключение

Сделать свою архитектуру GPT интересный, увлекательный и не такой сложный процесс. Вместо Шекспира можно использовать любой другой датасет. Результаты достаточно интересные, и будут очень похожи на ваш изначальный датасет. Рекомендую попробовать повторить - ощущение, когда получается построить свою модель и в целом неплохую очень крутые.

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  • 07.09.23 16:24 CherryTeam

    Cherry Team atlyginimų skaičiavimo programa yra labai naudingas įrankis įmonėms, kai reikia efektyviai valdyti ir skaičiuoti darbuotojų atlyginimus. Ši programinė įranga, turinti išsamias funkcijas ir patogią naudotojo sąsają, suteikia daug privalumų, kurie padeda supaprastinti darbo užmokesčio skaičiavimo procesus ir pagerinti finansų valdymą. Štai keletas pagrindinių priežasčių, kodėl Cherry Team atlyginimų skaičiavimo programa yra naudinga įmonėms: Automatizuoti ir tikslūs skaičiavimai: Atlyginimų skaičiavimai rankiniu būdu gali būti klaidingi ir reikalauti daug laiko. Programinė įranga Cherry Team automatizuoja visą atlyginimų skaičiavimo procesą, todėl nebereikia atlikti skaičiavimų rankiniu būdu ir sumažėja klaidų rizika. Tiksliai apskaičiuodama atlyginimus, įskaitant tokius veiksnius, kaip pagrindinis atlyginimas, viršvalandžiai, premijos, išskaitos ir mokesčiai, programa užtikrina tikslius ir be klaidų darbo užmokesčio skaičiavimo rezultatus. Sutaupoma laiko ir išlaidų: Darbo užmokesčio valdymas gali būti daug darbo jėgos reikalaujanti užduotis, reikalaujanti daug laiko ir išteklių. Programa Cherry Team supaprastina ir pagreitina darbo užmokesčio skaičiavimo procesą, nes automatizuoja skaičiavimus, generuoja darbo užmokesčio žiniaraščius ir tvarko išskaičiuojamus mokesčius. Šis automatizavimas padeda įmonėms sutaupyti daug laiko ir pastangų, todėl žmogiškųjų išteklių ir finansų komandos gali sutelkti dėmesį į strategiškai svarbesnę veiklą. Be to, racionalizuodamos darbo užmokesčio operacijas, įmonės gali sumažinti administracines išlaidas, susijusias su rankiniu darbo užmokesčio tvarkymu. Mokesčių ir darbo teisės aktų laikymasis: Įmonėms labai svarbu laikytis mokesčių ir darbo teisės aktų, kad išvengtų baudų ir teisinių problemų. Programinė įranga Cherry Team seka besikeičiančius mokesčių įstatymus ir darbo reglamentus, užtikrindama tikslius skaičiavimus ir teisinių reikalavimų laikymąsi. Programa gali dirbti su sudėtingais mokesčių scenarijais, pavyzdžiui, keliomis mokesčių grupėmis ir įvairių rūšių atskaitymais, todėl užtikrina atitiktį reikalavimams ir kartu sumažina klaidų riziką. Ataskaitų rengimas ir analizė: Programa Cherry Team siūlo patikimas ataskaitų teikimo ir analizės galimybes, suteikiančias įmonėms vertingų įžvalgų apie darbo užmokesčio duomenis. Ji gali generuoti ataskaitas apie įvairius aspektus, pavyzdžiui, darbo užmokesčio paskirstymą, išskaičiuojamus mokesčius ir darbo sąnaudas. Šios ataskaitos leidžia įmonėms analizuoti darbo užmokesčio tendencijas, nustatyti tobulintinas sritis ir priimti pagrįstus finansinius sprendimus. Pasinaudodamos duomenimis pagrįstomis įžvalgomis, įmonės gali optimizuoti savo darbo užmokesčio strategijas ir veiksmingai kontroliuoti išlaidas. Integracija su kitomis sistemomis: Cherry Team programinė įranga dažnai sklandžiai integruojama su kitomis personalo ir apskaitos sistemomis. Tokia integracija leidžia automatiškai perkelti atitinkamus duomenis, pavyzdžiui, informaciją apie darbuotojus ir finansinius įrašus, todėl nebereikia dubliuoti duomenų. Supaprastintas duomenų srautas tarp sistemų padidina bendrą efektyvumą ir sumažina duomenų klaidų ar neatitikimų riziką. Cherry Team atlyginimų apskaičiavimo programa įmonėms teikia didelę naudą - automatiniai ir tikslūs skaičiavimai, laiko ir sąnaudų taupymas, atitiktis mokesčių ir darbo teisės aktų reikalavimams, ataskaitų teikimo ir analizės galimybės bei integracija su kitomis sistemomis. Naudodamos šią programinę įrangą įmonės gali supaprastinti darbo užmokesčio skaičiavimo procesus, užtikrinti tikslumą ir atitiktį reikalavimams, padidinti darbuotojų pasitenkinimą ir gauti vertingų įžvalgų apie savo finansinius duomenis. Programa Cherry Team pasirodo esanti nepakeičiamas įrankis įmonėms, siekiančioms efektyviai ir veiksmingai valdyti darbo užmokestį. https://cherryteam.lt/lt/

  • 08.10.23 01:30 davec8080

    The "Shibarium for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH. The Plot Thickens. Someone posted the actual transactions!!!! https://bscscan.com/tx/0xa846ea0367c89c3f0bbfcc221cceea4c90d8f56ead2eb479d4cee41c75e02c97 It seems the article is true!!!! And it's also FUD. Let me explain. Check this link: https://bscscan.com/token/0x5a752c9fe3520522ea88f37a41c3ddd97c022c2f So there really is a "Shibarium" token. And somebody did a rug pull with it. CONFIRMED. But the "Shibarium" token for this confirmed rug pull is a BEP-20 project not related at all to Shibarium, SHIB, BONE or LEASH.

  • 24.06.24 04:31 tashandiarisha

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  • 26.06.24 18:46 Jacobethannn098

    LEGAL RECOUP FOR CRYPTO THEFT BY ADRIAN LAMO HACKER

  • 26.06.24 18:46 Jacobethannn098

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  • 04.07.24 04:49 ZionNaomi

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  • 13.07.24 21:13 michaelharrell825

    In 2020, amidst the economic fallout of the pandemic, I found myself unexpectedly unemployed and turned to Forex trading in hopes of stabilizing my finances. Like many, I was drawn in by the promise of quick returns offered by various Forex robots, signals, and trading advisers. However, most of these products turned out to be disappointing, with claims that were far from reality. Looking back, I realize I should have been more cautious, but the allure of financial security clouded my judgment during those uncertain times. Amidst these disappointments, Profit Forex emerged as a standout. Not only did they provide reliable service, but they also delivered tangible results—a rarity in an industry often plagued by exaggerated claims. The positive reviews from other users validated my own experience, highlighting their commitment to delivering genuine outcomes and emphasizing sound financial practices. My journey with Profit Forex led to a net profit of $11,500, a significant achievement given the challenges I faced. However, my optimism was short-lived when I encountered obstacles trying to withdraw funds from my trading account. Despite repeated attempts, I found myself unable to access my money, leaving me frustrated and uncertain about my financial future. Fortunately, my fortunes changed when I discovered PRO WIZARD GIlBERT RECOVERY. Their reputation for recovering funds from fraudulent schemes gave me hope in reclaiming what was rightfully mine. With a mixture of desperation and cautious optimism, I reached out to them for assistance. PRO WIZARD GIlBERT RECOVERY impressed me from the start with their professionalism and deep understanding of financial disputes. They took a methodical approach, using advanced techniques to track down the scammers responsible for withholding my funds. Throughout the process, their communication was clear and reassuring, providing much-needed support during a stressful period. Thanks to PRO WIZARD GIlBERT RECOVERY's expertise and unwavering dedication, I finally achieved a resolution to my ordeal. They successfully traced and retrieved my funds, restoring a sense of justice and relief. Their intervention not only recovered my money but also renewed my faith in ethical financial services. Reflecting on my experience, I've learned invaluable lessons about the importance of due diligence and discernment in navigating the Forex market. While setbacks are inevitable, partnering with reputable recovery specialists like PRO WIZARD GIlBERT RECOVERY can make a profound difference. Their integrity and effectiveness have left an indelible mark on me, guiding my future decisions and reinforcing the value of trustworthy partnerships in achieving financial goals. I wholeheartedly recommend PRO WIZARD GIlBERT RECOVERY to anyone grappling with financial fraud or disputes. Their expertise and commitment to client satisfaction are unparalleled, offering a beacon of hope in challenging times. Thank you, PRO WIZARD GIlBERT RECOVERY, for your invaluable assistance in reclaiming what was rightfully mine. Your service not only recovered my funds but also restored my confidence in navigating the complexities of financial markets with greater caution and awareness. Email: prowizardgilbertrecovery(@)engineer.com Homepage: https://prowizardgilbertrecovery.xyz WhatsApp: +1 (516) 347‑9592

  • 17.07.24 02:26 thompsonrickey

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  • 27.08.24 12:50 James889900

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  • 02.09.24 20:24 [email protected]

    If You Need Hacker To Recover Your Bitcoin Contact Paradox Recovery Wizard Paradox Recovery Wizard successfully recovered $123,000 worth of Bitcoin for my husband, which he had lost due to a security breach. The process was efficient and secure, with their expert team guiding us through each step. They were able to trace and retrieve the lost cryptocurrency, restoring our peace of mind and financial stability. Their professionalism and expertise were instrumental in recovering our assets, and we are incredibly grateful for their service. Email: support@ paradoxrecoverywizard.com Email: paradox_recovery @cyberservices.com Wep: https://paradoxrecoverywizard.com/ WhatsApp: +39 351 222 3051.

  • 06.09.24 01:35 Celinagarcia

    HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you ​​​​​​have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.

  • 06.09.24 01:44 Celinagarcia

    HOW TO RECOVER MONEY LOST IN BITCOIN/USDT TRADING OR TO CRYPTO INVESTMENT !! Hi all, friends and families. I am writing From Alberton Canada. Last year I tried to invest in cryptocurrency trading in 2023, but lost a significant amount of money to scammers. I was cheated of my money, but thank God, I was referred to Hack Recovery Wizard they are among the best bitcoin recovery specialists on the planet. they helped me get every penny I lost to the scammers back to me with their forensic techniques. and I would like to take this opportunity to advise everyone to avoid making cryptocurrency investments online. If you ​​​​​​have already lost money on forex, cryptocurrency or Ponzi schemes, please contact [email protected] or WhatsApp: +1 (757) 237–1724 at once they can help you get back the crypto you lost to scammers. BEST WISHES. Celina Garcia.

  • 16.09.24 00:10 marcusaustin

    Bitcoin Recovery Services: Restoring Lost Cryptocurrency If you've lost access to your cryptocurrency and unable to make a withdrawal, I highly recommend iBolt Cyber Hacker Bitcoin Recovery Services. Their team is skilled, professional, and efficient in recovering lost Bitcoin. They provide clear communication, maintain high security standards, and work quickly to resolve issues. Facing the stress of lost cryptocurrency, iBolt Cyber Hacker is a trusted service that will help you regain access to your funds securely and reliably. Highly recommended! Email: S u p p o r t @ ibolt cyber hack . com Cont/Whtp + 3. .9 .3. .5..0. .9. 2. 9. .0 .3. 1 .8. Website: h t t p s : / / ibolt cyber hack . com /

  • 16.09.24 00:11 marcusaustin

    Bitcoin Recovery Services: Restoring Lost Cryptocurrency If you've lost access to your cryptocurrency and unable to make a withdrawal, I highly recommend iBolt Cyber Hacker Bitcoin Recovery Services. Their team is skilled, professional, and efficient in recovering lost Bitcoin. They provide clear communication, maintain high security standards, and work quickly to resolve issues. Facing the stress of lost cryptocurrency, iBolt Cyber Hacker is a trusted service that will help you regain access to your funds securely and reliably. Highly recommended! Email: S u p p o r t @ ibolt cyber hack . com Cont/Whtp + 3. .9 .3. .5..0. .9. 2. 9. .0 .3. 1 .8. Website: h t t p s : / / ibolt cyber hack . com /

  • 23.09.24 18:56 matthewshimself

    At first, I was admittedly skeptical about Worldcoin (ref: https://worldcoin.org/blog/worldcoin/this-is-worldcoin-video-explainer-series), particularly around the use of biometric data and the WLD token as a reward mechanism for it. However, after following the project closer, I’ve come to appreciate the broader vision and see the value in the underlying tech behind it. The concept of Proof of Personhood (ref: https://worldcoin.org/blog/worldcoin/proof-of-personhood-what-it-is-why-its-needed) has definitely caught my attention, and does seem like a crucial step towards tackling growing issues like bots, deepfakes, and identity fraud. Sam Altman’s vision is nothing short of ambitious, but I do think he & Alex Blania have the chops to realize it as mainstay in the global economy.

  • 01.10.24 14:54 Sinewclaudia

    I lost about $876k few months ago trading on a fake binary option investment websites. I didn't knew they were fake until I tried to withdraw. Immediately, I realized these guys were fake. I contacted Sinew Claudia world recovery, my friend who has such experience before and was able to recover them, recommended me to contact them. I'm a living testimony of a successful recovery now. You can contact the legitimate recovery company below for help and assistance. [email protected] [email protected] WhatsApp: 6262645164

  • 02.10.24 22:27 Emily Hunter

    Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.

  • 18.10.24 09:34 freidatollerud

    The growth of WIN44 in Brazil is very interesting! If you're looking for more options for online betting and casino games, I recommend checking out Casinos in Brazil. It's a reliable platform that offers a wide variety of games and provides a safe and enjoyable experience for users. It's worth checking out! https://win44.vip

  • 31.10.24 00:13 ytre89

    Can those who have fallen victim to fraud get their money back? Yes, you might be able to get back what was taken from you if you fell prey to a fraud from an unregulated investing platform or any other scam, but only if you report it to the relevant authorities. With the right plan and supporting documentation, you can get back what you've lost. Most likely, the individuals in control of these unregulated platforms would attempt to convince you that what happened to your money was a sad accident when, in fact, it was a highly skilled heist. You should be aware that there are resources out there to help you if you or someone you know has experienced one of these circumstances. Do a search using (deftrecoup (.) c o m). Do not let the perpetrators of this hoaxes get away with ruining you mentally and financially.

  • 02.11.24 14:44 diannamendoza732

    In the world of Bitcoin recovery, Pro Wizard Gilbert truly represents the gold standard. My experience with Gilbert revealed just how exceptional his methods are and why he stands out as the premier authority in this critical field. When I first encountered the complexities of Bitcoin recovery, I was daunted by the technical challenges and potential risks. Gilbert’s approach immediately distinguished itself through its precision and effectiveness. His methods are meticulously designed, combining cutting-edge techniques with an in-depth understanding of the Bitcoin ecosystem. He tackled the recovery process with a level of expertise and thoroughness that was both impressive and reassuring. What sets Gilbert’s methods apart is not just their technical sophistication but also their strategic depth. He conducts a comprehensive analysis of each case, tailoring his approach to address the unique aspects of the situation. This personalized strategy ensures that every recovery effort is optimized for success. Gilbert’s transparent communication throughout the process was invaluable, providing clarity and confidence during each stage of the recovery. The results I achieved with Pro Wizard Gilbert’s methods were remarkable. His gold standard approach not only recovered my Bitcoin but did so with an efficiency and reliability that exceeded my expectations. His deep knowledge, innovative techniques, and unwavering commitment make him the definitive expert in Bitcoin recovery. For anyone seeking a benchmark in Bitcoin recovery solutions, Pro Wizard Gilbert’s methods are the epitome of excellence. His ability to blend technical prowess with strategic insight truly sets him apart in the industry. Call: for help. You may get in touch with them at ; Email: (prowizardgilbertrecovery(@)engineer.com) Telegram ; https://t.me/Pro_Wizard_Gilbert_Recovery Homepage ; https://prowizardgilbertrecovery.info

  • 12.11.24 00:50 TERESA

    Brigadia Tech Remikeable recovery has exhibited unparalleled strength in the realm of recovery. They stand out as the premier team to collaborate with if you encounter withdrawal difficulties from the platform where you’ve invested. Recently, I engaged with them to recover over a million dollars trapped in an investment platform I’d been involved with for months. I furnished their team with every detail of the investment, including accounts, names, and wallet addresses to which I sent the funds. This decision proved to be the best I’ve made, especially after realizing the company had scammed me. Brigadia Tech Remikeable recovery ensures exemplary service delivery and ensures the perpetrators face justice. They employ advanced techniques to ensure you regain access to your funds. Understandably, many individuals who have fallen victim to investment scams may still regret engaging in online services again due to the trauma of being scammed. However, I implore you to take action. Seek assistance from Brigadia Tech Remikeable Recovery Experts today and witness their remarkable capabilities. I am grateful that I resisted their enticements, and despite the time it took me to discover brigadia tech recovery, they ultimately fulfilled my primary objective. Without Brigadia Tech Recovery's intervention, I would have remained despondent and perplexed indefinitely. Also if you are looking for the best and safest investment company you can contact them, for wallet recovery, difficult withdrawal, etc. I am so happy to keep getting my daily BTC, all I do is keep 0.1 BTC in my mining wallet with the help of Brigadia Tech. They connected me to his mining stream and I earn 0.4 btc per day with this, my daily profit. I can get myself a new house and car. I can’t believe I have thousands of dollars in my bank account. Now you can get in. ([email protected]) Telegram +1 (323)-9 1 0 -1 6 0 5

  • 17.11.24 09:31 Vivianlocke223

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  • 19.11.24 03:06 [email protected]

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  • 19.11.24 03:07 [email protected]

    My entire existence fell apart when a malevolent hacker recently gained access to my online accounts. I felt violated and extremely uneasy after discovering that the digital platforms I depended on for communication, employment, and finances had been compromised. Regaining control and restoring my digital security was an overwhelming task in the immediate aftermath. To help me navigate the difficult process of recovering my accounts and getting my peace of mind back, TRUST GEEKS HACK EXPERT came into my life as a ray of hope. They immediately put their highly skilled professionals to work, thoroughly examining the vulnerability and methodically preventing unwanted access. They guided me through each stage soothingly, explaining what was occurring and why, so I never felt lost or alone. They communicated with service providers to restore my legitimate access while skillfully navigating the complex labyrinth of account recovery procedures. My digital footprint was cleaned and strengthened against future attacks thanks to their equally amazing ability to remove any remaining evidence of the hacker's presence. However, TRUST GEEKS HACK EXPERT actual worth went beyond its technical aspects. They offered constant emotional support during the ordeal, understanding my fragility and sense of violation. My tense nerves were calmed by their comforting presence and kind comments, which served as a reminder that I wasn't alone in this struggle. With their help, I was able to reestablish my sense of security and control, which enabled me to return my attention to the significant areas of my life that had been upended. Ultimately, TRUST GEEKS HACK EXPERT all-encompassing strategy not only recovered my online accounts but also my general peace of mind, which is a priceless result for which I am incredibly appreciative of their knowledge and kindness. Make the approach and send a message to TRUST GEEKS HACK EXPERT Via Web site <> www://trustgeekshackexpert.com/-- E>mail: Trustgeekshackexpert(At)fastservice..com -- TeleGram,<> Trustgeekshackexpert

  • 21.11.24 04:14 ronaldandre617

    Being a parent is great until your toddler figures out how to use your devices. One afternoon, I left my phone unattended for just a few minutes rookie mistake of the century. I thought I’d take a quick break, but little did I know that my curious little genius was about to embark on a digital adventure. By the time I came back, I was greeted by two shocking revelations: my toddler had somehow managed to buy a $5 dinosaur toy online and, even more alarmingly, had locked me out of my cryptocurrency wallet holding a hefty $75,000. Yes, you heard that right a dinosaur toy was the least of my worries! At first, I laughed it off. I mean, what toddler doesn’t have a penchant for expensive toys? But then reality set in. I stared at my phone in disbelief, desperately trying to guess whatever random string of gibberish my toddler had typed as a new password. Was it “dinosaur”? Or perhaps “sippy cup”? I felt like I was in a bizarre game of Password Gone Wrong. Every attempt led to failure, and soon the laughter faded, replaced by sheer panic. I was in way over my head, and my heart raced as the countdown of time ticked away. That’s when I decided to take action and turned to Digital Tech Guard Recovery, hoping they could solve the mystery that was my toddler’s handiwork. I explained my predicament, half-expecting them to chuckle at my misfortune, but they were incredibly professional and empathetic. Their confidence put me at ease, and I knew I was in good hands. Contact With WhatsApp: +1 (443) 859 - 2886  Email digital tech guard . com  Telegram: digital tech guard recovery . com  website link :: https : // digital tech guard . com Their team took on the challenge like pros, employing their advanced techniques to unlock my wallet with a level of skill I can only describe as magical. As I paced around, anxiously waiting for updates, I imagined my toddler inadvertently locking away my life savings forever. But lo and behold, it didn’t take long for Digital Tech Guard Recovery to work their magic. Not only did they recover the $75,000, but they also gave me invaluable tips on securing my wallet better like not leaving it accessible to tiny fingers! Who knew parenting could lead to such dramatic situations? Crisis averted, and I learned my lesson: always keep my devices out of reach of little explorers. If you ever find yourself in a similar predicament whether it’s tech-savvy toddlers or other digital disasters don’t hesitate to reach out to Digital Tech Guard Recovery. They saved my funds and my sanity, proving that no challenge is too great, even when it involves a toddler’s mischievous fingers!

  • 21.11.24 08:02 Emily Hunter

    If I hadn't found a review online and filed a complaint via email to support@deftrecoup. com , the people behind this unregulated scheme would have gotten away with leaving me in financial ruins. It was truly the most difficult period of my life.

  • 22.11.24 04:41 [email protected]

    I never could have imagined the nightmare of losing access to my digital wallet. All of my cryptocurrency holdings were abruptly imprisoned, inaccessible, and appeared to be lost forever following a catastrophic hardware breakdown. Years of meticulous investment and careful saving were reduced to nothing more than strings of code that I could no longer control, and I could feel the dread and sorrow that swept through me at that very instant. Thankfully, during my worst moment, I came into (TRUST GEEKS HACK EXPERT), a professional service devoted to recovering lost or inaccessible digital data. With optimism, I went out to their team of skilled technologists, laying bare the full nature of my issue. What followed was a laborious, multi-step process that required an almost surgical level of digital forensics and Bitcoin skill. In order to create a thorough profile of my wallet's contents and activities, the (TRUST GEEKS HACK EXPERT) team first thoroughly examined the transaction history and metadata connected to it. Next, they implemented a series of advanced recovery techniques, using cutting-edge software tools to bypass the access barriers that had left me locked out. The entire process was shrouded in secrecy and discretion, with the (TRUST GEEKS HACK EXPERT) team working tirelessly to protect the confidentiality of my sensitive financial information. After what felt like an eternity of nervous anticipation, the day finally arrived when I received the triumphant notification – my wallet had been successfully restored, and all of my precious digital assets had been returned to my control. The sense of relief was indescribable, as I could finally breathe easy knowing that the fruits of my financial discipline had been safeguarded. While the experience of losing access to my wallet was undoubtedly traumatic, (TRUST GEEKS HACK EXPERT) intervention allowed me to emerge from the ordeal with my cryptocurrency holdings intact, and a renewed appreciation for the importance of proactive digital asset management. You can contact Them through EMAIL: [email protected] - TELEGRAM: TRUSTGEEKSHACKEXPERT

  • 22.11.24 15:26 cliftonhandyman

    Your Lost Bitcoins Are Not Gone Forever? Enquire From iBolt Cyber Hacker iBolt Cyber Hacker is a cybersecurity service that specializes in Bitcoin and cryptocurrency recovery. Even if your Bitcoin is locked away in a scammer inaccessible wallet, they have the tools and expertise to retrieve it. Many people, including seasoned cryptocurrency investors, face the daunting possibility of never seeing their lost funds again. iBolt cyber hacker service is a potential lifeline in these situations. I understand the concerns many people might have about trusting a third-party service to recover their Bitcoin. iBolt Cyber Hacker takes security seriously, implementing encryption and stringent privacy protocols. I was assured that no sensitive data would be compromised during the recovery process. Furthermore, their reputation in the cryptocurrency community, based on positive feedback from previous clients, gave me confidence that I was in good hands. Whtp +39, 351..105, 3619 Em.ail: ibolt @ cyber- wizard. co m

  • 22.11.24 23:43 teresaborja

    all thanks to Tech Cyber Force Recovery expert assistance. As a novice in cryptocurrency, I had been carefully accumulating a modest amount of Bitcoin, meticulously safeguarding my digital wallet and private keys. However, as the adage goes, the best-laid plans can often go awry, and that's precisely what happened to me. Due to a series of technical mishaps and human errors, I found myself locked out of my Bitcoin wallet, unable to access the fruits of my digital labors. Panic set in as I frantically searched for a solution, scouring the internet for any glimmer of hope. That's when I stumbled upon the Tech Cyber Force Recovery team, a group of seasoned cryptocurrency specialists who had built a reputation for their ability to recover lost or inaccessible digital assets. Skeptical at first, I reached out, desperate for a miracle. To my utter amazement, the Tech Cyber Force Recovery experts quickly assessed my situation and devised a meticulous plan of attack. Through their deep technical knowledge, unwavering determination, and a keen eye for detail, they were able to navigate the complex labyrinth of blockchain technology, ultimately recovering my entire Bitcoin portfolio. What had once seemed like a hopeless endeavor was now a reality, and I found myself once again in possession of my digital wealth, all thanks to the incredible efforts of the Tech Cyber Force Recovery team. This experience has not only restored my faith in the cryptocurrency ecosystem. Still, it has also instilled in me a profound appreciation for the critical role that expert recovery services can play in safeguarding one's digital assets.   ENAIL < Tech cybers force recovery @ cyber services. com >   WEBSITE < ht tps : // tech cyber force recovery. info  >   TEXT < +1. 561. 726. 3697 >

  • 24.11.24 02:21 [email protected]

    I never could have imagined the nightmare of losing access to my digital wallet. All of my cryptocurrency holdings were abruptly imprisoned, inaccessible, and appeared to be lost forever following a catastrophic hardware breakdown. Years of meticulous investment and careful saving were reduced to nothing more than strings of code that I could no longer control, and I could feel the dread and sorrow that swept through me at that very instant. Thankfully, during my worst moment, I came into (TRUST GEEKS HACK EXPERT), a professional service devoted to recovering lost or inaccessible digital data. With optimism, I went out to their team of skilled technologists, laying bare the full nature of my issue. What followed was a laborious, multi-step process that required an almost surgical level of digital forensics and Bitcoin skill. In order to create a thorough profile of my wallet's contents and activities, the (TRUST GEEKS HACK EXPERT) team first thoroughly examined the transaction history and metadata connected to it. Next, they implemented a series of advanced recovery techniques, using cutting-edge software tools to bypass the access barriers that had left me locked out. The entire process was shrouded in secrecy and discretion, with the (TRUST GEEKS HACK EXPERT) team working tirelessly to protect the confidentiality of my sensitive financial information. After what felt like an eternity of nervous anticipation, the day finally arrived when I received the triumphant notification – my wallet had been successfully restored, and all of my precious digital assets had been returned to my control. The sense of relief was indescribable, as I could finally breathe easy knowing that the fruits of my financial discipline had been safeguarded. While the experience of losing access to my wallet was undoubtedly traumatic, (TRUST GEEKS HACK EXPERT) intervention allowed me to emerge from the ordeal with my cryptocurrency holdings intact, and a renewed appreciation for the importance of proactive digital asset management. You can contact Them through EMAIL: [email protected] - TELEGRAM: TRUSTGEEKSHACKEXPERT

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