Experimental News Clipping Site

Tag: Retrieval-Augmented Generation

  • Hacker News: RAG Logger: An Open-Source Alternative to LangSmith

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    Source URL: https://github.com/Brandon-c-tech/RAG-logger Source: Hacker News Title: RAG Logger: An Open-Source Alternative to LangSmith Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses an open-source logging tool called RAG Logger, designed for Retrieval-Augmented Generation (RAG) applications. This tool enables detailed tracking of queries, retrieval processes, and interactions with large language models (LLMs),…

  • Cloud Blog: Find sensitive data faster (but safely) with Google Distributed Cloud’s gen AI search solution

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    Source URL: https://cloud.google.com/blog/topics/hybrid-cloud/on-prem-generative-ai-search-with-google-distributed-cloud-rag/ Source: Cloud Blog Title: Find sensitive data faster (but safely) with Google Distributed Cloud’s gen AI search solution Feedly Summary: Today, generative AI is giving organizations new ways to process and analyze data, discover hidden insights, increase productivity and build new applications. However, data sovereignty, regulatory compliance, and low-latency requirements can be…

  • Hacker News: A Replacement for Bert

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    Source URL: https://huggingface.co/blog/modernbert Source: Hacker News Title: A Replacement for Bert Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The text discusses the introduction of ModernBERT, an advanced encoder-only model that surpasses older models like BERT in both performance and efficiency. Boasting an increased context length of 8192 tokens, faster processing…

  • Cloud Blog: Optimizing RAG retrieval: Test, tune, succeed

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/optimizing-rag-retrieval/ Source: Cloud Blog Title: Optimizing RAG retrieval: Test, tune, succeed Feedly Summary: Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs deliver more accurate, relevant, and contextually aware responses, minimizing hallucinations and building trust in AI applications. But RAG can be…

  • Hacker News: Show HN: DataFuel.dev – Turn websites into LLM-ready data

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    Source URL: https://www.datafuel.dev/ Source: Hacker News Title: Show HN: DataFuel.dev – Turn websites into LLM-ready data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text is highly relevant to the categories of LLM Security and MLOps as it discusses a platform that converts web content into datasets prepared for Large Language Models (LLMs).…

  • Anchore: Enhancing Container Security with NVIDIA’s AI Blueprint and Anchore’s Syft

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    Source URL: https://anchore.com/blog/enhancing-container-security-with-nvidias-ai-blueprint-and-anchores-syft/ Source: Anchore Title: Enhancing Container Security with NVIDIA’s AI Blueprint and Anchore’s Syft Feedly Summary: Container security is critical – one breach can lead to devastating data losses and business disruption. NVIDIA’s new AI Blueprint for Vulnerability Analysis transforms how organizations handle these risks by automating vulnerability detection and analysis. For enhanced…

  • Cloud Blog: How Vertex AI’s vector search helps unlock high-performance gen AI apps

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-fast-and-scalable-ai-applications-with-vertex-ai/ Source: Cloud Blog Title: How Vertex AI’s vector search helps unlock high-performance gen AI apps Feedly Summary: Think about your favorite apps – the ones that deliver instant results from massive amounts of data. They’re likely powered by vector search, the same technology that fuels generative AI. Vector search is crucial for…

  • Hacker News: Roaming RAG – Make the Model Find the Answers

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    Source URL: http://arcturus-labs.com/blog/2024/11/21/roaming-rag–make-_the-model_-find-the-answers/ Source: Hacker News Title: Roaming RAG – Make the Model Find the Answers Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents a novel approach called “Roaming RAG,” which simplifies the retrieval-augmented generation (RAG) model by allowing a large language model (LLM) to directly navigate well-structured documents without the…

  • Simon Willison’s Weblog: New Pleias 1.0 LLMs trained exclusively on openly licensed data

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    Source URL: https://simonwillison.net/2024/Dec/5/pleias-llms/#atom-everything Source: Simon Willison’s Weblog Title: New Pleias 1.0 LLMs trained exclusively on openly licensed data Feedly Summary: New Pleias 1.0 LLMs trained exclusively on openly licensed data I wrote about the Common Corpus public domain dataset back in March. Now Pleias, the team behind Common Corpus, have released the first family of…

  • Hacker News: AI hallucinations: Why LLMs make things up (and how to fix it)

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    Source URL: https://www.kapa.ai/blog/ai-hallucination Source: Hacker News Title: AI hallucinations: Why LLMs make things up (and how to fix it) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text addresses a critical issue in AI, particularly with Large Language Models (LLMs), known as “AI hallucination.” This phenomenon presents significant challenges in maintaining the reliability…