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klotz: llm* + re-ranking*

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1. Working with Embeddings: Closed versus Open Source

   An article discussing the use of embeddings in natural language processing, focusing on comparing open source and closed source embedding models for semantic search, including techniques like clustering and re-ranking.

   2024-09-27 Tags: embeddings, natural language processing, semantic search, open source, closed source, retrieval applications, clustering, re-ranking, llm by klotz
2. Open-Source Models, Temperature Scaling, Re-Ranking, and More: Don’t Miss Our Recent LLM Must-Reads

   The Towards Data Science team highlights recent articles on the rise of open-source LLMs, ethical considerations with chatbots, potential manipulation of LLM recommendations, and techniques for temperature scaling and re-ranking in generative AI.

   2024-05-17 Tags: temperature scaling, re-ranking, llm, retrieval-augmented generation, retrieval, bi-encoders, cross-encoders, customer lifetime value, predictive methods, marketers, data scientists, statistical convergence, 19th-century shipwreck, transformer architecture, multi-classifier model, molecular biology, bioinformatics, ai, career transition, physics, data science by klotz

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