Large-language-model

PydanticAI is a Python framework designed to simplify the development of production-grade applications using Generative AI.

Explore how optimizing test-time computation can significantly improve the performance of Large Language Models (LLMs) more effectively than scaling model parameters.

LiteLLM is a versatile tool designed to facilitate interactions with a wide array of Large Language Models (LLMs) using a unified interface. It supports over 100 LLMs and offers features like load balancing, cost tracking, and retry logic, making it suitable for both developers and AI enablement teams.

Open Interpreter is an innovative tool that enables Large Language Models (LLMs) to execute code locally in various programming languages. It provides a natural language interface, allowing users to interact with their computer's capabilities through a ChatGPT-like terminal interface. This tool facilitates tasks such as creating and editing media, controlling web browsers, and analyzing datasets, all through natural language commands.

This paper introduces Astute RAG, a novel Retrieval-Augmented Generation (RAG) technique designed to enhance the reliability of Large Language Models (LLMs) by addressing the challenges posed by imperfect retrieval and knowledge conflicts.