Home - clarkvoss/LLM GitHub Wiki

Welcome to my LLM wiki!

This is the start of my research on attacking LLM's.

At its most basic definition, a Large Language Model (LLM) is an artificial neural network designed to perform Natural Language Processing (NLP) tasks, which include generating, understanding, and classifying human language[2]. These models are trained on data from the internet, giving them an expansive knowledge base and training set.

Use of Large language models (LLMs) Large language models (LLMs) have a wide range of applications, including:

• Language Translation: LLMs can be used for language translation, allowing users to translate text from one language to another accurately.

• Chatbots and Conversational AI: LLMs can be used to create chatbots and conversational AI systems that can engage in natural language conversations with users.

• Content Creation: LLMs can be used to generate content, such as articles, summaries, and product descriptions, that are grammatically correct and contextually relevant.

• Text Summarization: LLMs can be used to summarize large volumes of text, such as news articles or research papers, into shorter, more digestible summaries.

• Question Answering: LLMs can be used to answer questions by identifying relevant information from a large corpus of text.

• Sentiment Analysis: LLMs can be used to analyze the sentiment of text, allowing companies to understand customer sentiment towards their products or services.

• Speech Recognition: LLMs can be used to improve speech recognition systems by better understanding the context and meaning of spoken words.