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lopespm.com | ||
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michael-lewis.com
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| | | | | An introduction to vector search (aka semantic search), and Retrieval Augmented Generation (RAG). | |
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unstructured.io
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| | | | | Navigate the Massive Text Embedding Benchmark (MTEB) leaderboard with confidence! Understand the difference between Bi-Encoders and Cross-Encoders, learn how text embedding models are pre-trained and benchmarked, and how to make the best choice for your specific use case. | |
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www.danieldemmel.me
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| | | | | Part two of the series Building applications using embeddings vector search and Large Language Models | |
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amatriain.net
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| | | Introduction What we talk about when we talk about Hallucinations How to Measure Mitigating Hallucinations: a multifacted approach Product design approaches Prompt Engineering solutions Grounding with RAG Advanced Prompt Engineering methods Model Choices Reinforcement Learning from Human Feedback (RLHF) Domain adaptation through Fine-Tuning Conclusion: Yann vs. Ilya | ||
