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Are there public examples of working products using RAG, compared with fine-tuning or training from scratch?
by dfhg 3y ago
Are there public examples of working products using RAG, compared with fine-tuning or training from scratch?
- c0pium 3y agoCopilots use RAG: https://www.microsoft.com/en-us/research/group/dynamics-insights-apps-artificial-intelligence-machine-learning/articles/prompt-engineering-improving-our-ability-to-communicate-with-an-llm/ https://www.microsoft.com/en-us/research/group/dynamics-insi...
- tinco 3y agoThe OpenAI assistants API is an implementation of a RAG pipeline. It performs both RAG on any documents you upload, and on any conversation you have with it that exceeds the context.
- regularfry 3y agoAmazon Q is (at least partially) a RAG implementation.
- aik 3y agoNot public but internally I wrote a tool to help us respond to RFPs. You pass in a question from a new RFP and it outputs surprisingly great answers most of the time. Is writing 75%+ of our RFP responses now (naturally we review and adjust sometimes and as needed). And best of all it was very quickly hacked together and it’s actually useful. Copied questions/answers from all previous ones into a doc, and am using OpenAI embeddings api + FAISS vector db + GPT-4 to load the chunks + store the embeddings + process the resulting chunks.
- deleted 3y ago[deleted]