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RAG vs fine-tuning vs long context: what is working for your use case?
Share the use case, the approach you chose and the results.
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Generative AI in production
LLMs, copilots and RAG beyond the demo: cost, quality and guardrails.
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About Generative AI in production
For teams shipping generative AI into real workflows: model choice, retrieval, evaluation, guardrails and the bill. Practitioners ask, compare and share what worked with Generative AI in production. Anyone who works for a vendor is labelled with their company.
Good threads here say what you ran, at what scale and what changed your mind. The most useful answers rise to the top of question threads, and the asker can mark one as accepted. Community guidelines
