Add RapidFire AI to LLM Training and LLM RAG sections

[kamran-rapidfireAI]

Summary

• Adds RapidFire AI to the LLM Training and Fine-Tuning section: a rapid AI experimentation framework for fine-tuning and post-training LLMs (SFT, DPO, GRPO) with hyperparallelized execution and real-time interactive control.
• Adds RapidFire AI to the LLM RAG section: covers RAG pipeline optimization and context engineering with hyperparallelized, shard-based execution and real-time interactive control.

RapidFire AI delivers 16-24x higher experimentation throughput for LLM customization without extra resources. It features hyperparallelized execution, interactive control operations (stop, resume, clone-modify runs in real-time), and automatic GPU/API optimization.

• Docs: https://oss-docs.rapidfire.ai
• PyPI: pip install rapidfireai
• GitHub: https://github.com/RapidFireAI/rapidfireai

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