Deploying Libraries and Tools

This document provides an overview of various libraries and tools that can be used for deploying AI models. It is divided into several sections, each focusing on a specific aspect of deployment. The sections include LLM Ops, Models, Finetuning, Serving, Programming Convenience, Memory Interaction, Executors and Interpreters, Data Creation, and General.

Models

This section provides a selection of repositories that enable the creation of models:

'This project (ToolLLM) Tool Bench 'This project (ToolLLM) aims to construct open-source, large-scale, high-quality instruction tuning SFT data to facilitate the construction of powerful LLMs with general tool-use capability.'