Results for “retrieval augmented generation”

…updating LLMs with new policies, it was highlighted that RAG (Retrieval-Augmented Generation) is preferable over fine-tuning. Fine-tuning would require removing outdated training data and integrating new policies, which is complex and less …

…- explodinggradients/ragas: Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines: Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines - explodinggradients/ragasGitHub -…

…(with Local LLMs): AI For Your PDFs: Learn how to build a RAG (Retrieval Augmented Generation) app in Python that can let you query/chat with your PDFs using generative AI.This project contains ...OpenAI Developer Forum: Ask questions and…

…It is available on Hugging Face. 3. Function Calling and RAG (Retrieval-Augmented Generation) Users sought recommendations for various function calling datasets, with links shared to resources like Glaive Function Calling v2, APIGen…

…LLaVA model trained on instruction data. Explorations into Retrieval-Augmented Generation (RAG) using LangChain with Mistral Large and LlamaIndex, with tutorials on building advanced RAG assistants and complexity-adaptive RAG strategies.…

…the attached" and adopting structured data for enhanced retrieval and generation. Exploring Modularity with Lexideck Technologies: The engineering implications of Lexideck were discussed, identifying it as a potential tool for testing…

…Tomorrow's event focuses on creating an ultra-low dependency Retrieval Augmented Generation (RAG) application using sqlite-vec and llamafile, with bare-bones Python and no additional dependencies or installations. Alex Garcia will lead the …

…Zebra-Llama model focuses on context-aware training to improve Retrieval Augmented Generation (RAG) capabilities, specifically targeting rare diseases like Ehlers-Danlos Syndrome with enhanced citation accuracy as showcased in the GitHub…

…<li>Another user advised looking into <strong>RAG</strong> (Retrieval-Augmented Generation) for insights on existing platforms and functionality.</li> </ul> </li> <li><p><strong>Perplexity Pro Features and Functionality</strong>: Concerns…

…in implementing precise podcast length controls. Knowledge Base Generation with NotebookLM: Members are investigating NotebookLM's capability to generate a knowledge base akin to retrieval augmented generation (RAG), seeking insights and…

…solutions that offer multilingual support and optimization for Retrieval-Augmented Generation (RAG) across various domains. RAG Retrieval Integration & Cloud Setup Struggles: The combination of NL2sql with vector search was addressed using …

…Implementation Catching Attention: Participants discussed using Retrieval-Augmented Generation (RAG) to improve model responses and enhance knowledge retention during analysis. One user suggested effectively using existing datasets in RAG…