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My primary use case would be to feed large internal codebases into an LLM with a much larger context window than what GPT-4 offers. Curious what the best option
by SOLAR_FIELDS 3y ago
My primary use case would be to feed large internal codebases into an LLM with a much larger context window than what GPT-4 offers. Curious what the best options here are, in terms of model choice, speed, and ideas for prompt engineering
- Eisenstein 3y agoYi-34B-200K might be something to look at. * https://huggingface.co/01-ai/Yi-34B-200K https://huggingface.co/01-ai/Yi-34B-200K
- xyc 3y agoI came across https://github.com/BloopAI/bloop https://github.com/BloopAI/bloop that seems promising, but it's GPT-4 based. It uses Qdrant as vector DB for RAG.
- aethelyon 3y agoBloop is amazing. Once you use it you stop building your own DIY codebase QA setups.