Experimental News Clipping Site

Tag: augmented generation

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

    —

    by

    system automation
    in

    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

    —

    by

    system automation
    in

    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)

    —

    by

    system automation
    in

    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…

  • Cloud Blog: Build agentic RAG on Google Cloud databases with LlamaIndex

    —

    by

    system automation
    in

    Source URL: https://cloud.google.com/blog/products/databases/llamaindex-integrates-with-alloydb-and-cloud-sql-for-postgresql/ Source: Cloud Blog Title: Build agentic RAG on Google Cloud databases with LlamaIndex Feedly Summary: AI agents are revolutionizing the landscape of gen AI application development. Retrieval augmented generation (RAG) has significantly enhanced the capabilities of large language models (LLMs), enabling them to access and leverage external data sources such as databases.…

  • Hacker News: Pinecone integrates AI inferencing with vector database

    —

    by

    system automation
    in

    Source URL: https://blocksandfiles.com/2024/12/02/pinecone-integrates-ai-inferencing-with-its-vector-database/ Source: Hacker News Title: Pinecone integrates AI inferencing with vector database Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the enhancements made by Pinecone, a vector database platform, to improve retrieval-augmented generation (RAG) through integrated AI inferencing capabilities and security features. This development is significant for professionals engaged…

  • Hacker News: Show HN: Open-Source Colab Notebooks to Implement Advanced RAG Techniques

    —

    by

    system automation
    in

    Source URL: https://github.com/athina-ai/rag-cookbooks Source: Hacker News Title: Show HN: Open-Source Colab Notebooks to Implement Advanced RAG Techniques Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines a comprehensive resource on advanced Retrieval-Augmented Generation (RAG) techniques, which enhance the accuracy and relevance of responses generated by Large Language Models (LLMs) by integrating external…