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Add IBM's open-source LLM libraries

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BeeAI and Data Pre Kit libraries are added under LLM Agents and LLM Application Development - Data Preparation categories.
This commit is contained in:
Kalyan KS
2025-03-21 13:04:27 +05:30
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@@ -61,6 +61,13 @@ This repository contains a curated list of 120+ LLM libraries category wise.
| Weave | Weave is a toolkit for developing Generative AI applications. | [Link](https://github.com/wandb/weave) |
| Llama Stack | Build Llama Apps. | [Link](https://github.com/meta-llama/llama-stack) |
<p align = "center"> <b> Data Preparation </b> </p>
| Library | Description | Link |
|--------------|------------------------------------------------------------------------------------------------------|-------|
| Data Prep Kit | Data Prep Kit accelerates unstructured data preparation for LLM app developers. Developers can use Data Prep Kit to cleanse, transform, and enrich use case-specific unstructured data to pre-train LLMs, fine-tune LLMs, instruct-tune LLMs, or build RAG applications. | [Link](https://github.com/data-prep-kit/data-prep-kit) |
<p align = "center"> <b> Multi API Access </b> </p>
| Library | Description | Link |
@@ -181,6 +188,7 @@ This repository contains a curated list of 120+ LLM libraries category wise.
| AutoGen | An open-source framework for building AI agent systems. | [Link](https://github.com/microsoft/autogen) |
| Smolagents | Library to build powerful agents in a few lines of code. | [Link](https://github.com/huggingface/smolagents) |
| Pydantic AI | Python agent framework to build production grade applications with Generative AI. | [Link](https://ai.pydantic.dev/) |
| BeeAI | Build production-ready multi-agent systems in Python. | [Link](https://github.com/i-am-bee/beeai-framework/tree/main/python) |
| gradio-tools | A Python library for converting Gradio apps into tools that can be leveraged by an LLM-based agent to complete its task. | [Link](https://github.com/freddyaboulton/gradio-tools) |
| Composio | Production Ready Toolset for AI Agents. | [Link](https://github.com/ComposioHQ/composio) |
| Atomic Agents | Building AI agents, atomically. | [Link](https://github.com/BrainBlend-AI/atomic-agents) |