Tag: Retrieval-Augmented Generation

  • Hacker News: Throw more AI at your problems

    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

    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

    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

    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

    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

    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…

  • Hacker News: MemoRAG – Enhance RAG with memory-based knowledge discovery for long contexts

    Source URL: https://github.com/qhjqhj00/MemoRAG Source: Hacker News Title: MemoRAG – Enhance RAG with memory-based knowledge discovery for long contexts Feedly Summary: Comments AI Summary and Description: Yes Summary: MemoRAG presents a next-generation retrieval-augmented generation (RAG) framework that innovatively integrates a super-long memory model to enhance contextual understanding and evidence retrieval capabilities. Its capacity to process up…

  • Hacker News: Anthropic – Introducing Contextual Retrieval

    Source URL: https://www.anthropic.com/news/contextual-retrieval Source: Hacker News Title: Anthropic – Introducing Contextual Retrieval Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses innovations in Retrieval-Augmented Generation (RAG) with a focus on a new method called Contextual Retrieval. This approach significantly enhances information retrieval accuracy by combining contextual embeddings and BM25 techniques, making it…

  • Cloud Blog: Test it out: an online shopping demo experience with Gemini and RAG

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/an-online-shopping-demo-with-gemini-and-rag/ Source: Cloud Blog Title: Test it out: an online shopping demo experience with Gemini and RAG Feedly Summary: Earlier this year, tens of thousands of developers gathered in Las Vegas for Google Cloud Next ’24, which culminated in hundreds of sessions and over 200 announcements. During the Developer Keynote, we showcased how…