#GitHub Repository

Access a wide-ranging collection of tutorials and resources dedicated to Large Language Models, Text2SQL, Text2API, and other related areas. The platform provides detailed insights into various community contributions, current leaderboard standings, and recent surveys about LLM-enhanced Text2SQL systems. This resource guide benefits both novice and experienced users aiming to deepen their knowledge and practical use of Text2SQL.

This project employs ray diffusion for pose estimation, providing a comprehensive guide on setup, demos, and training. Presented at ICLR 2024, it introduces using cameras as rays for enhanced pose accuracy, offering instructions on configuring the environment with Pytorch and Pytorch3D, acquiring model weights, and demo execution with both known and automatically detected bounding boxes. It also details ray regression and training processes, with evaluation guides, suitable for researchers and developers exploring advanced pose estimation methodologies.

ChatGPT-ToolBox offers a unique AI-driven experience by optimizing automated interactions with ChatGPT integration. Focused on reducing human-authored code, it provides comprehensive functionality. Access features like GPT4-Mobile for Plus users to enable sophisticated tasks. Ideal for developers and tech enthusiasts seeking hassle-free integration and management. Explore intuitive setup guides and enjoy versatile usage without needing extra plugins, streamlining AI-driven operations.

Access an extensive selection of research papers from CVPR 2024, showcasing the forefront of computer vision and deep learning. The repository offers code implementations to explore advancements in visual intelligence. Stay informed on the latest developments in image synthesis, 3D modeling, and more from top researchers worldwide.

QA-Pilot facilitates interaction with GitHub repositories, using advanced LLM models for effective code understanding and navigation. Features include multiple chat sessions, search functionality, and integration with a codegraph for Python visualization. The project supports AI models from providers such as OpenAI and NVIDIA, with an emphasis on local deployment capabilities. Recent updates feature 'Moonshot' API and 'Go Codegraph'. It is important to avoid using sensitive data, as QA-Pilot is designed for experimental purposes, not for production.