Experimental News Clipping Site

Tag: Retrieval-Augmented Generation

  • The Register: California’s last nuclear plant turns to generative AI for filing and finding the fine print

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    Source URL: https://www.theregister.com/2024/11/13/nuclear_plant_generative_ai/ Source: The Register Title: California’s last nuclear plant turns to generative AI for filing and finding the fine print Feedly Summary: Diablo Canyon gets nifty new tech to … speed up document retrieval? A California startup is deploying what it says is the first commercial installation of generative AI at a US…

  • Cloud Blog: How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser

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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-and-document-ai-layout-parser-for-document-preprocessing/ Source: Cloud Blog Title: How to simplify building RAG pipelines in BigQuery with Document AI Layout Parser Feedly Summary: Document preprocessing is a common hurdle when building retrieval-augmented generation (RAG) pipelines. It often requires Python skills and external libraries to parse documents like PDFs into manageable chunks that can be used to…

  • The Register: Staff can’t code? No prob. Singapore superapp’s LLM whips up apps for them

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    Source URL: https://www.theregister.com/2024/11/06/grab_coding_llm/ Source: The Register Title: Staff can’t code? No prob. Singapore superapp’s LLM whips up apps for them Feedly Summary: NP-hard to NP at all Southeast Asia’s Uber-esque superapp, Grab, has developed a tool that allows its employees to build large language model (LLM) apps without coding.… AI Summary and Description: Yes Summary:…

  • Hacker News: Ask HN: Local RAG with private knowledge base

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    Source URL: https://news.ycombinator.com/item?id=41968366 Source: Hacker News Title: Ask HN: Local RAG with private knowledge base Feedly Summary: Comments AI Summary and Description: Yes Summary: The text addresses considerations related to Document Retrieval-Augmented Generation (RAG) strategies in the context of utilizing large language models (LLMs). Specifically, it emphasizes the importance of document formatting and preprocessing for…

  • Hacker News: Throw more AI at your problems

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    Source URL: https://frontierai.substack.com/p/throw-more-ai-at-your-problems Source: Hacker News Title: Throw more AI at your problems Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into the evolution of AI application development, particularly around the use of multiple LLM (Large Language Model) calls as a means to effectively address problems. It emphasizes a shift…

  • Hacker News: Probably pay attention to tokenizers

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    Source URL: https://cybernetist.com/2024/10/21/you-should-probably-pay-attention-to-tokenizers/ Source: Hacker News Title: Probably pay attention to tokenizers Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text delves into the critical role of tokenization in AI applications, particularly those utilizing Retrieval-Augmented Generation (RAG). It emphasizes how understanding tokenization can significantly affect the performance of AI models, especially in contexts…

  • Hacker News: Red Hat Reveals Major Enhancements to Red Hat Enterprise Linux AI

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    Source URL: https://www.zdnet.com/article/red-hat-reveals-major-enhancements-to-red-hat-enterprise-linux-ai/ Source: Hacker News Title: Red Hat Reveals Major Enhancements to Red Hat Enterprise Linux AI Feedly Summary: Comments AI Summary and Description: Yes Summary: Red Hat has launched RHEL AI 1.2, an updated platform designed to improve the development, testing, and deployment of large language models (LLMs). This version introduces features aimed…

  • The Register: TensorWave bags $43M to pack its datacenter with AMD accelerators

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    Source URL: https://www.theregister.com/2024/10/08/tensorwave_amd_gpu_cloud/ Source: The Register Title: TensorWave bags $43M to pack its datacenter with AMD accelerators Feedly Summary: Startup also set to launch an inference service in Q4 TensorWave on Tuesday secured $43 million in fresh funding to cram its datacenter full of AMD’s Instinct accelerators and bring a new inference platform to market.……

  • Cloud Blog: When to use supervised fine-tuning for Gemini

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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/supervised-fine-tuning-for-gemini-llm/ Source: Cloud Blog Title: When to use supervised fine-tuning for Gemini Feedly Summary: Have you ever wished you could get a foundation model to respond in a particular style, exhibit domain-specific expertise, or excel at a specific task? While foundation models like Gemini demonstrate remarkable capabilities out-of-the-box, there can be a gap…

  • Hacker News: Two kinds of LLM responses: Informational vs. Instructional

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    Source URL: https://shabie.github.io/2024/09/23/two-kinds-llm-responses.html Source: Hacker News Title: Two kinds of LLM responses: Informational vs. Instructional Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses distinct response types from Large Language Models (LLMs) in the context of Retrieval-Augmented Generation (RAG), highlighting the implications for evaluation metrics. It emphasizes the importance of recognizing informational…