A dozen tools for deploying LLMs

The Ultimate Toolkit for Deploying Large Language Models (LLMs)

In the rapidly evolving world of artificial intelligence, Large Language Models (LLMs) have emerged as a game-changer. Their ability to understand, generate, and interact with human language has opened up a plethora of opportunities across industries. However, deploying and managing these models can be a daunting task. Thankfully, the open-source community has been hard at work, developing tools to simplify this process. Here's a curated list of some of the best tools available for deploying LLMs:

1. FastChat

A distributed multi-model LLM serving system.

• Features: Comes with a web UI and OpenAI-compatible RESTful APIs, making it a breeze to integrate and manage multiple LLMs.

2. SkyPilot

A versatile tool to run LLMs and batch jobs on any cloud.

• Features: Offers cost savings, high GPU availability, and managed execution through a user-friendly interface.

3. vLLM

A high-throughput and memory-efficient inference and serving engine.

• Features: Designed specifically for LLMs, ensuring optimal performance and resource utilization.

4. Text Generation Inference

A robust server for text generation inference.

• Features: Built using Rust, Python, and gRPC, it powers the LLM api-inference widgets at HuggingFace.

5. Haystack

An open-source NLP framework.

• Features: Integrates LLMs and transformer-based models from leading providers to interact with custom datasets.

6. Sidekick

A platform focused on data integration for LLMs.

• Features: Simplifies the process of feeding data to and from LLMs, ensuring seamless operations.

7. LangChain & LiteChain

Tools for building applications through LLM composability.

• Features: While LangChain offers a comprehensive approach, LiteChain provides a lightweight alternative for composing LLMs.

8. magentic

A tool that integrates LLMs as Python functions.

• Features: Offers a seamless experience for Python developers to leverage LLM capabilities.

9. wechat-chatgpt

Enables the use of ChatGPT on WeChat.

• Features: Uses wechaty to bring the power of ChatGPT to one of the world's most popular messaging platforms.

10. promptfoo

A tool for testing and evaluating prompts.

• Features: Helps in evaluating LLM outputs, catching regressions, and refining prompt quality.

11. Agenta

A platform for building and deploying LLM-powered apps.

• Features: Provides functionalities for versioning, evaluating, and deploying LLM applications.

12. Serge

A self-hosted chat interface for Alpaca models.

• Features: Built with llama.cpp, it requires no API keys, ensuring privacy and control.

These tools listed are not exhaustive but are are instrumental in harnessing the full potential of LLMs. Whether you're a developer, researcher, or business professional, these tools can significantly streamline the deployment and management of LLMs. Dive in, explore, and choose the ones that best fit your needs!