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klotz: retrieval-augmented generation*

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1. Verba: A Retrieval-Augmented Generation (RAG) chatbot powered by Weaviate

   Verba is an open-source application designed to offer an end-to-end, streamlined, and user-friendly interface for Retrieval-Augmented Generation (RAG) out of the box. It supports various RAG techniques, data types, LLM providers, and offers Docker support and a fully-customizable frontend.

   2024-05-20 Tags: verba, retrieval-augmented generation, rag, weaviate, open-source, chatbot, python, llm, github 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
3. Proxy Fine-Tuning LLMs

   - Proxy fine-tuning is a method to improve large pre-trained language models without directly accessing their weights.
   - It operates on top of black-box LLMs by utilizing only their predictions.
   - The approach combines elements of retrieval-based techniques, fine-tuning, and domain-specific adaptations.
   - Proxy fine-tuning can be used to achieve the performance of heavily-tuned large models by only tuning smaller models.

   2024-05-11 Tags: proxy, fine-tuning, llm, retrieval-augmented generation, domain-specific adaptations, data delivery, rag, catastrophic forgetting, drift by klotz

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