This article provides an overview of 13 interesting tools and frameworks that can be used with Large Language Models (LLMs). The tools are categorized into four groups: data extraction, model integration, workflow automation, and text generation.
1. E2B – An open-source framework for integrating LLMs with other models and datasets.
2. LangChain – A Python library for building chatbots using LLMs.
3. Composio – A framework for building AI-powered tools and integrations.
4. CopilotKit – A toolkit for building custom chatbot workflows.
5. Fabric – An open-source framework for automating text processing tasks.
6. Haystack – A search engine for large language models.
7. Instructor – A tool for validating structured responses from LLMs.
8. LiteLLM – A drop-in replacement for OpenAI models.
9. Julep – A managed backend for building AI-powered applications.
10. Llama-index – A search engine for LLMs.
The article also mentions some general tips and strategies for working with LLMs, such as using prompts to elicit specific responses and experimenting with different models and workflows.
Source: https://dev.to/composiodev/13-hidden-open-source-libraries-to-become-an-ai-wizard-4ng9