LLM

Table of Contents

Scope

Given there is so much information available in the Internet on Generative AI, let’s keep this brief and to the point of relevant topics.

Let’s start by asking ChatGPT

ChatGPT : What is Large Language Model ?

A large language model, often referred to simply as an “LLM,” is a type of artificial intelligence (AI) model designed to understand and generate human language…….

Here are the main points that ChatGPT came with ….

  • Text Generation: LLMs can generate coherent and contextually relevant text. This ability has applications in content generation, chatbots, and more.

  • Text Completion: They can predict and complete text or sentences based on given input, making them useful for autocomplete features and text suggestion systems.

  • Text Classification: LLMs can classify text into different categories or labels, which is valuable for tasks like sentiment analysis, spam detection, and topic classification.

  • Language Translation: LLMs can be used for machine translation, converting text from one language to another.

  • Question Answering: They can answer questions posed in natural language, making them useful for virtual assistants and search engines.

  • Text Summarization: LLMs can generate concise summaries of longer text documents, which is beneficial for information retrieval and content summarization.

  • Language Understanding: These models can understand the meaning and context of text, including ambiguous or complex language.

  • Conversational Agents: LLMs can be used to build chatbots and virtual assistants capable of holding text-based conversations with users.

Core Areas

If you are building applications you need access to:

OpenAI API References : APIs needed for make queries through various models in OpenAI . e.g. gpt-3.5-turbo-0301, gpt-4-0314, gpt-4-32k-0314

Langchain Documentation : Allows for easier development of LLM applications by allowing connections to various API endpoints as inpit-output. This allows a lot of services to communicate with each other to derive what the Application is attempting to do.

Lamma-Index

Autogen Framework : A multi-agent abstraction layer that allows building LLM workflows with a lot lot more Automation.

Here are a few links really worth looking into