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Add RapidFire AI to LLM Training and LLM RAG sections #24

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Add RapidFire AI to LLM Training and LLM RAG sections #24

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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -66,6 +66,7 @@ Join 🚀 [**AIxFunda** free newsletter](https://aixfunda.substack.com/) to get
| DeepSpeed | DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective. | [Link](https://github.com/deepspeedai/DeepSpeed) |
| torchtune | A PyTorch-native library specifically designed for fine-tuning LLMs. | [Link](https://github.com/pytorch/torchtune) |
| PyTorch Lightning | A library that offers a high-level interface for pretraining and fine-tuning LLMs. | [Link](https://github.com/Lightning-AI/pytorch-lightning) |
| RapidFire AI | Rapid AI experimentation framework for fine-tuning and post-training LLMs (SFT, DPO, GRPO) with hyperparallelized execution and real-time interactive control. | [Link](https://github.com/RapidFireAI/rapidfireai) |


## LLM Application Development
Expand Down Expand Up @@ -151,6 +152,7 @@ Join 🚀 [**AIxFunda** free newsletter](https://aixfunda.substack.com/) to get
| Llmware | Unified framework for building enterprise RAG pipelines with small, specialized models. | [Link](https://github.com/llmware-ai/llmware) |
| Rerankers | A lightweight unified API for various reranking models. | [Link](https://github.com/AnswerDotAI/rerankers) |
| Vectara | Build Agentic RAG applications. | [Link](https://vectara.github.io/py-vectara-agentic/latest/) |
| RapidFire AI | Rapid AI experimentation framework for RAG and context engineering with hyperparallelized, shard-based execution and real-time interactive control. | [Link](https://github.com/RapidFireAI/rapidfireai) |


## LLM Inference
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