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OpenSource на поле против OpenAI: Function Calls здесь и сейчас для самых маленьких… ресурсов

Введение

Можете скипнуть введение, если знаете:

Почему использовать Open Source лучше Open AI API

А для тех, кто остался: Давайте рассмотрим плюсы и минусы!

Плюсы:

Бесплатные модели.
На изображении представлен Khaby Lame
Управление данными и приватность: локальное размещение моделей гарантирует, что ваши данные не покинут вашу систему.
Доступность исходного кода позволяет лучше понимать и исправлять ошибки.
Возможность fine-tuning для своих нужд.
Поддержка сообщества с постоянными обновлениями.
Отсутствие зависимости от вендоров и их политики.

Кроме того, можно использовать локально развернутую LLM вместе с OpenAI API.
Если, например, у вас заканчиваются средства на аккаунте или по какой-либо другой причине работа кода с OpenAI API приостанавливается, локальная модель может прийти на помощь. Это позволит вашему рабочему процессу продолжаться без перебоев.

Минусы:

Необходимость самостоятельно контролировать поддержку работоспособности модели.
Ответственность за развертку и настройку модели.
Необходимость арендовать или приобретать вычислительные ресурсы.
Параметры proprietary моделей обычно гораздо больше, и они могут быть более "умными".
Необходимость иметь квалифицированных специалистов для управления и обслуживания модели.

Теоретические основы

Что это такое Function Calling?

В контексте больших языковых моделей Function Calling подразумевает способность LLM определять из запроса пользователя подходящую функцию для выполнения из доступного набора функций и правильные параметры для передачи этой функции. Вместо генерации обычных текстовых ответов, LLM для вызова функций обычно настраивается так, чтобы возвращать ответы со структурированными данными, чаще всего в формате JSON. Эти структурированные данные можно использовать для выполнения предопределенных функций, таких как извлечение данных из хранилищ данных или функциональных возможностей, получение данных в реальном времени или вызов сторонних API.

Отличия Function Calling от Tools

Данный вопрос неоднократно встречался на просторах интернета. Думаем, многие понимают различия, однако стоит прояснить.
Tools — это более широкое понятие, которое включает в себя Function Calling и многие другие инструменты. Например, Assistants, созданные с помощью Assistants API в OpenAI API, поддерживают не только Function Calling, но и File Search (встроенный инструмент RAG для обработки и поиска в файлах), Code Interpreter (позволяет писать и запускать код на Python, обрабатывать файлы и различные данные), а также создавать собственные тулы.

От теории к практике

Да, как уже стало понятно, тулы — это действительно очень крутой и мощный инструмент. Однако необходимо, чтобы кто-то ими воспользовался. В OpenAI API для этого существуют Assistants, но как это реализовать с локальными LLM-ками? Именно для этого мы здесь и собрались!

Модель, которая смогла: Mistral

Представляем вам лучшего работника месяца для нас: Mistral-7B-Instruct-v0.3:

Вместо крабсбургеров приготовит вам много проектов!

Данная модель была выпущена 22 мая 2024 года, так что она может уже и не быть работником месяца, но мы начали с ней работать только сейчас, и для pet-проектов она довольно отлична.

Улучшения в Mistral-7B-v0.3

В Mistral-7B-v0.3 внесены следующие изменения по сравнению с Mistral-7B-v0.2:

Расширен словарный запас до 32 768 токенов
Ранее размер словаря в v0.2 составлял 32 000 токенов. Может показаться, что увеличение на 768 токенов незначительно, однако эти дополнительные токены теперь могут охватывать редкие слова, новый жаргон или специфические термины.

Для справки: Llama 3 имеет словарь в 128 256 токенов. В то время как GPT-4o превосходит их обоих, расширив словарь до 200 019 токенов по сравнению с 100 277 в GPT-4.
Поддерживается Tokenizer v3
Поддерживается Function Calling
Самое интересное и то, зачем мы сюда пришли, — это способность вызывать функции. Теперь модель можно использовать на полную мощность и в различных приложениях, позволяя ей выполнять задачи, выходящие за рамки простого создания текста.

Сравнение с GPT-4o

Если вы готовы платить денюжку, то можно использовать Mistral AI API. Тут можно продешевить и получить почти такое же качество по генерации текста как у Open AI GPT-4o.

Вот вам pricing GPT-4o и моделей от Mistral:

Pricing GPT-4o

Pricing моделей от Mistral AI

Ну, а качество у Mistral Large 2 сходно с GPT-4o. Вот вам таблица с характеристиками моделей с этого сайта:

Сравнение характеристик моделей

И еще вот эту:

Сравнение MMLU моделей

Ну, собственно, Mistral Large 2 неплохо так догнала GPT-4o, а еще использовать её дешевле.

Подумайте, чей код приведен ниже: описание тулов с использованием Mistral AI API или же OpenAI API?

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_current_weather",
            "description": "Get the current weather",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "The city and state, e.g. San Francisco, CA",
                    },
                    "format": {
                        "type": "string",
                        "enum": ["celsius", "fahrenheit"],
                        "description": "The temperature unit to use. Infer this from the users location.",
                    },
                },
                "required": ["location", "format"],
            },
        }
    }
]

Правильный ответ: Это сработает и там, и там. Ребята из Mistral AI сделали почти точно такой же API, как у OpenAI.
Они же одинаковые, Наташ!
Прекрасно, то есть, если вы захотите перейти от использования Open AI API к Mistral AI API, часть кода может остаться неизменной.

Но мы сюда за бесплатным Open Source пришли, о каком API идет речь? В этом и суть, что их API работает и бесплатно, с моделькой развернутой на LM Studio или других аналогах.

Вот пример кода:

from mistralai.client import MistralClient
from mistralai.models.chat_completion import ChatMessage
from mistralai.models.chat_completion import ChatMessage
from mistralai.client import MistralClient
from mistralai.models.chat_completion import ChatMessage

def get_current_weather(location, format):  
    # Тело функции опускается 
    return {
        "location": location,
        "temperature": 23,
        "format": format
    }


model="MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF", 
api_key = "lm-studio"
endpoint = "http://localhost:1234/"

tools = [
    {
        "type": "function",
        "function": {
            "name": "get_current_weather",
            "description": "Get the current weather",
            "parameters": {
                "type": "object",
                "properties": {
                    "location": {
                        "type": "string",
                        "description": "The city and state, e.g. San Francisco, CA",
                    },
                    "format": {
                        "type": "string",
                        "enum": ["celsius", "fahrenheit"],
                        "description": "The temperature unit to use. Infer this from the users location.",
                    },
                },
                "required": ["location", "format"],
            },
        }
    },
]

messages = [
    ChatMessage(role="user", content="What's is the current weather in Minsk Belarus?")
]

client = MistralClient(api_key=api_key, endpoint=endpoint)
response = client.chat(model=model, messages=messages, tools=tools, tool_choice="any")
print(response)

И на этом месте возникает вопрос: то есть, ребята из Mistral AI предоставили и модель, и API — а кто тогда будет покупать их ключи? Да, не все модели в открытом доступе, плюс они разворачивают их на своих серверах, но нам-то и не ракета в космосе нужна. И всё кажется таким заманчивым, но то ли бесплатный сыр только в мышеловке, то ли руки кривоваты, но добиться вызова функций через их API так и не получилось.

Что ж, таким образом мы плавно и перешли к использованию великого для нас crewAI.

Наш спаситель

Еще больше нерабочих решений!

На текущий момент возникают следующие сложности:

Количество моделей, нативно поддерживающих функции, достаточно невелико (среди них выбранный ранее Mistral-7B-v0.3).
Фреймворки и платформы для локальной развёрки LLM зачастую не способствуют тому, чтобы данная фича даже в своём присутствии хотя бы изредка работала корректно.

В частности, некоторые модели из LocalAI имели в своём арсенале интересующую нас функциональность, однако на практике они показали удручающие результаты. Некоторые модели были не в состоянии вычленить нужные параметры или же сообщали о необходимости вызова функции в ситуациях, где контекст явно никак не связан с предлагаемой функцией.

Использование фреймворка AutoGen в совокупности с развернутой при помощи LM Studio модели с поддержкой Function Calling не дало никаких результатов. Агенты не использовали заявленные функции, а заставляли модель писать её самостоятельно. Естественно, подобное никуда не годится.

Вот репозиторий, на основе которого мы пытались соединить AutoGen и локальные LLM для реализации вызовов функций.

Величие сrewAI

В конце концов, замена фреймворка с AutoGen на аналогичный ему crewAI при всё той же развертке на LM Studio уже описанной модели Mistral-7B-Instruct-v0.3 принесла свои плоды.

Агент на основе данной LLM в действительности понял, какие у него есть функции и в каких ситуациях их необходимо применять. На этом месте мы и остановимся подробнее. Сейчас мы покажем, как повторить наши результаты шаг за шагом.

Вся система работала на обычном офисном ноутбуке с 16GB RAM и процессором AMD Ryzen 7 4700U без единого намёка на такую роскошь как GPU. О скорости работы в данной статье речи не идёт, но это это определённый плюс, ведь запустить свою небольшую LLM с крутыми фишками для личных целей сможет практически каждый желающий.

Теперь же к реализации:

Мы использовали Anaconda для создания виртуального окружения Python, LM Studio, установленный на ОС Windows. Для начала работы с CrewAI достаточно было установить всего две зависимости: pip install crewai crewai_tools.
Переходим к коду. Задача перед нами стоит следующая:
1. Загрузить модель.
2. Подвязать к ней агента.
3. Описать функции-тулы и сообщить агенту о их существовании.
4. Создать задачу.
5. Запустить всю систему.

Создание объекта модели:

from langchain_community.chat_models.openai import ChatOpenAI

OPENAI_API_BASE_URL = "http://localhost:1234/v1"  # Адрес, по которому мы будем обращаться к модели в LM Studio
OPENAI_API_KEY = "NA"  # В базовой конфигурации LM Studio не важен
MODEL_NAME = "MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF"  # Необязательно, важна лишь фактическая модель, которую развернули в LM Studio

default_llm = ChatOpenAI(
    openai_api_base=OPENAI_API_BASE_URL,
    openai_api_key=OPENAI_API_KEY,
    model_name=MODEL_NAME,
)

Создание функции-тулы для агента:

from crewai_tools import tool

# Аннотирование типов и docstring строго обязательны согласно документации CrewAI
# Формат docstring формально не важен, но тем подробнее объяснишь суть функции агенту, тем лучше
@tool("Summator") # Имя, под которым агент будет упоминать данную тулу
def find_sum(a: int, b: int) -> int: 
    """
    Function for finding the sum of two `int` numbers.
    Args:
        a (int): The first number.
        b (int): The second number.
    Returns:
        int: The sum of `a` and `b`.
    """
      return a + b

Создание агента:

from crewai import Agent

general_agent = Agent(
    role="Assistant",
    goal="Answer Questions",
    backstory="",
    allow_delegation=False,
    verbose=True,
    llm=default_llm,
    tools=[find_sum], # Именно здесь мы отдаём агенту возможные функции, которые он может применить
)

Осталось создать задачу агенту и запустить Crew:

from crewai import Crew, Task

task = Task(
    description="12345 + 54321",
    expected_output='Int number',
    agent=general_agent,
)

crew = Crew(agents=[general_agent], tasks=[task], verbose=2)
result = crew.kickoff()
print(result)

Предоставляем результаты запуска агента, использующего описанную функцию подсчёта суммы чисел:

Как можно заметить, Function Call в действительности сработала как положено: модель решила, что необходимо вызвать внешнюю функцию, отдала агенту параметры, а тот, в свою очередь, напрямую выполнил соответствующий код и отдал ответ модели

То, что мы изначально хотели получить и даже лучше! (ну почти...читайте далее).

Теперь предоставим чуть более интересный пример, переписав функцию так, чтобы она принимала в качестве своего аргумента список целых чисел для суммирования. У моделей часто возникают проблемы с математическими расчётами, поэтому попробуем частично исправить этот недочёт.

Переписанная тула:

@tool("Summator")

def find_sum(nums: List[int]) -> int:
    """
    Function for finding the sum of array of numbers.
    Args:
        nums (List[int]): Array of numbers to find their sum.
    Returns:
        int: The sum of all numbers in array.
    """
    return sum(nums)

Ниже представлены результаты запроса без использования каких-либо функций и тулов и с применением тулы:

В первом случае сама LMM, к сожалению, не справилась с поставленной задачей

Во втором случае ей оказалось вполне по силам выделить список чисел и делегировать ответственность по их суммированию на внешнего исполнителя.
Просто превосходно!

Хорошо, сложение чисел - это всё круто и прикольно, однако давайте предоставим более интересный пример. Реализуем аналог демонстрационной функции из документации OpenAI по запросу погоды на местноти.

В третий раз, код самой функции с использованием Open-Meteo API:

@tool("Weather API")
def get_current_weather(location: str) -> str:
    """
    Function to get current weather in provided city
    Args:
        location (str): The target city.
    Returns:
        str: Weather info as JSON string if answer is valid or error message
    """
    CITY_LATLONG_URL = "https://geocoding-api.open-meteo.com/v1/search?name={}&count=1&language=en&format=json"
    url = CITY_LATLONG_URL.format(location)

    response = requests.get(url)
    if response.status_code == 200:
        try:
            data = response.json()["results"][0]
        except KeyError:
            return f"ERROR: Nonexisting city {location}"
        latitude = data["latitude"]
        longitude = data["longitude"]
    else:
        return f"ERROR: Failed to get city location {location}"
    
    WEATHER_CURRENT_URL = "https://api.open-meteo.com/v1/forecast?latitude={}&longitude={}&current=temperature_2m,relative_humidity_2m,apparent_temperature,rain,showers,snowfall,wind_gusts_10m,wind_direction_10m&wind_speed_unit=ms&timezone=auto"
    url = WEATHER_CURRENT_URL.format(latitude, longitude)
    
    response = requests.get(url)
    if response.status_code == 200:
        return str(response.json())
    else:
        return f"ERROR: Failed to get current weather in {location}"

Пришлось также немного видоизменить описание агента и его задачи:

general_agent = Agent(
    role="Wheather Assistant",
    goal="Answer Questions and reformat data as human-readable form. Only use tools to get weather info, formatting is your own task",
    backstory="",
    allow_delegation=False,
    verbose=True,
    llm=default_llm,
    tools=[get_current_weather],
)

task = Task(
    description="What is the weather in Minsk now?",
    expected_output='Weather description',
    agent=general_agent,
)

Спустя некоторое время ожидания, окончательный результат перед нами:

Заметим, что на момент тестирования функции погода в Минске была именно такой, т.е. Open-Meteo API работает

Агент сработал корректно, результат получен, все довольны — мир, дружба, жвачка! Однако... есть и небольшая ложка дёгтя:

При трёх одновременно загруженных в агента тулах модель стала путаться и запускать функции, совершенно не касающиеся текущего запроса, с выдуманными параметрами. Вполне вероятно, что это можно нивелировать гораздо более детальным пояснением сути тулов и в каких ситуациях их нужно вызывать.
Наличие тулов склоняет модель к лени. В первый раз после получении данных о погоде LLM решила вызвать функцию для форматирования JSON в читабельный текст, которой даже не существовало, вместо того, чтобы выполнить свою основную задачу самостоятельно. Исправить это удалось прописыванием более чёткого ТЗ для модели.

В отличие от OpenAI API и в целом от классического Function Calling, агенты crewAI также берут на себя обработку ответа модели. И пока в других случаях нам возвращается JSON с параметрами функции, которые необходимо так или иначе обрабатывать вручную, CrewAI задвигает это всё под капот, вызывая функцию самостоятельно.

Заключение и подводные камешки

Куда же без камешков

У этого подхода есть как плюсы, так и минусы.

Плюсы: даже с RAM в 8 ГБ можно запустить квантованную Mistral размером 3-5 ГБ и радоваться вызовам функций.

Минусы: Что ж...заглянем под капот. Вот как выглядел POST запрос к модели на LLM:

{
  "messages": [
    {
      "content": "You are Wheather Assistant. \nYour personal goal is: Answer Questions and reformat data as human-readable form. Only use tools to get weather info, formatting is your own task\nYou ONLY have access to the following tools, and should NEVER make up tools that are not listed here:\n\nTool Name: Weather API(*args: Any, **kwargs: Any) -> Any\nTool Description: Weather API(location: 'string') -      Function to get current weather in provided city      Args:         location (str): The target city.      Returns:         str: Weather info as JSON string if answer is valid or error message      \nTool Arguments: {'location': {'title': 'Location', 'type': 'string'}}\n\nUse the following format:\n\nThought: you should always think about what to do\nAction: the action to take, only one name of [Weather API], just the name, exactly as it's written.\nAction Input: the input to the action, just a simple python dictionary, enclosed in curly braces, using \" to wrap keys and values.\nObservation: the result of the action\n\nOnce all necessary information is gathered:\n\nThought: I now know the final answer\nFinal Answer: the final answer to the original input question\n\nCurrent Task: What is the weather in Minsk now?\n\nThis is the expect criteria for your final answer: Weather description \n you MUST return the actual complete content as the final answer, not a summary.\n\nBegin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it!\n\nThought:\n",
      "role": "user"
    }
  ],
  "model": "MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF",
  "logprobs": false,
  "n": 1,
  "stop": [
    "\nObservation"
  ],
  "stream": true,
  "temperature": 0.7
}

А вот так выглядел запрос к модели для нерабочего варианта вызова функции через Mistral AI API:

{
  "messages": [
    {
      "role": "user",
      "content": "What's is the current weather in Minsk Belarus?"
    }
  ],
  "model": [
    "MaziyarPanahi/Mistral-7B-Instruct-v0.3-GGUF"
  ],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_current_weather",
        "description": "Get the current weather",
        "parameters": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string",
              "description": "The city and state, e.g. San Francisco, CA"
            },
            "format": {
              "type": "string",
              "enum": [
                "celsius",
                "fahrenheit"
              ],
              "description": "The temperature unit to use. Infer this from the users location."
            }
          },
          "required": [
            "location",
            "format"
          ]
        }
      }
    }
  ],
  "stream": false,
  "tool_choice": "any"
}

В случае сrewAI инструменты добавляются в основной промпт, а в случае Mistral AI API они передаются отдельным параметром в запросе. Поэтому мы предполагаем (но не утверждаем), что модель могла плохо справляться в случае, когда мы ей давали несколько функций, из-за перегруженности контента промпта. В целом, передача всей информации о каждой функции просто в промпт выглядит слегка как костыль и даже не совсем как Function Call, но несмотря на такие подводные камни, всё выглядит довольно хорошо: параметры функций вычленяются правильно, функции вызываются сами — а что ещё нужно?

Мы продолжаем искать различные более лучшие способы реализовывать вызов функций, создание агентов и прочие крутые фишки на Open Source решениях. Поэтому мы будем рады любому комментарию или предложению. А пока мы понимаем, что на поле между Open Source и OpenAI одерживает победу второй игрок, но первый уже совсем не аутсайдер.

Всем спасибо за прочтение данной статьи!

Авторы статьи

Янкова Анастасия (@dumonten)
Пастухов Кирилл (@AlabaAclydiem)

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Дата

3 авг. 2024 г.

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.
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06.09.24 01:44 Celinagarcia

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16.09.24 00:10 marcusaustin

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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

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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.
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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

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12.11.24 00:50 TERESA

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17.11.24 09:31 Vivianlocke223

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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
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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

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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
25.11.24 02:19 briankennedy

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25.11.24 02:20 briankennedy

After countless hours of research and desperate attempts to find a solution, I stumbled upon FASTFUND RECOVERY. It was like finding an oasis in the middle of a desert. Their website promised to help victims of scams reclaim what was rightfully theirs, and I instantly knew I had to give them a shot. Before diving headfirst into the recovery process, I wanted to make sure that FASTFUND RECOVERY was the real deal. So, I did my due diligence and looked into their expertise and reputation. To my relief, I found that they had an impeccable track record, successfully assisting countless individuals in recovering their lost funds. Their team consisted of experts in cybersecurity and financial fraud, armed with the knowledge and tools needed to tackle even the most intricate scams. With their reputation preceding them, I felt a renewed sense of hope. FASTFUND RECOVERY successfully came to my aid and got back the amount I lost to these scammers and for this, I am sending this article for clarification. The info of FASTFUND RECOVERY is email: Fastfundrecovery8 (@)Gmail (.) com. Web fastfundrecovery(.)com. (W/A 1 807/500/7554)
26.11.24 21:59 [email protected]

In a world brimming with enticing investment opportunities, it is crucial to tread carefully. The rise of digital currencies has attracted many eager investors, but along with this excitement lurk deceitful characters ready to exploit the unsuspecting. I learned this lesson the hard way, and I want to share my story in the hopes that it can save someone from making the same mistakes I did. It all began innocently enough when I came across an engaging individual on Facebook. Lured in by promises of high returns in the cryptocurrency market, I felt the electric thrill of potential wealth coursing through me. Initial investments returned some profits, and that exhilarating taste of success fueled my ambition. Encouraged by a meager withdrawal, I decided to commit even more funds. This was the moment I let my guard down, blinded by greed. As time went on, the red flags started to multiply. The moment I tried to withdraw my earnings, a cascade of unreasonable fees appeared like a thick mist, obscuring the truth. “Just a little more,” they said, “Just until the next phase.” I watched my hard-earned money slip through my fingers as I scraped together every last cent to pay those relentless fees. My trust had become my downfall. In the end, I lost not just a significant amount of cash, but my peace of mind about $1.1 million vanished into the abyss of false promises and hollow guarantees. But despair birthed hope. After a cascade of letdowns, I enlisted the help of KAY-NINE CYBER SERVICES, a team that specializes in reclaiming lost funds from scams. Amazingly, they worked tirelessly to piece together what had been ripped away, providing me with honest guidance when I felt utterly defeated. Their expertise in navigating the treacherous waters of crypto recovery was a lifeline I desperately needed. To anyone reading this, please let my story serve as a warning. High returns often come wrapped in the guise of deception. Protect your investments, scrutinize every opportunity, and trust your instincts. Remember, the allure of quick riches can lead you straight to heartbreak, but with cautious determination and support, it is possible to begin healing from such devastating loss. Stay informed, stay vigilant, and may you choose your investment paths wisely. Email: kaynine @ cyberservices . com
26.11.24 23:12 rickrobinson8

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26.11.24 23:12 rickrobinson8

Although recovering from the terrible effects of investment fraud can seem like an impossible task, it is possible to regain financial stability and go on with the correct assistance and tools. In my own experience with Wizard Web Recovery, a specialized company that assisted me in navigating the difficulties of recouping my losses following my fall prey to a sophisticated online fraud, that was undoubtedly the case. My life money had disappeared in an instant, leaving me in a state of shock when I first contacted Spartan Tech Group Retrieval through this Email: spartantechretrieval (@) g r o u p m a i l .c o m The compassionate and knowledgeable team there quickly put my mind at ease, outlining a clear and comprehensive plan of action. They painstakingly examined every aspect of my case, using their broad business contacts and knowledge to track the movement of my pilfered money. They empowered me to make knowledgeable decisions regarding the rehabilitation process by keeping me updated and involved at every stage. But what I valued most was their unrelenting commitment and perseverance; they persisted in trying every option until a sizable amount of my lost money had been successfully restored. It was a long and arduous journey, filled with ups and downs, but having Spartan Tech Group Retrieval in my corner made all the difference. Thanks to their tireless efforts, I was eventually able to rebuild my financial foundation and reclaim a sense of security and control over my life. While the emotional scars of investment fraud may never fully heal, working with this remarkable organization played a crucial role in my ability to move forward and recover. For proper talks, contact on WhatsApp:+1 (971) 4 8 7 - 3 5 3 8 and Telegram:+1 (581) 2 8 6 - 8 0 9 2 Thank you for your time reading as it will be of help.
00:39 [email protected]

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