Results for “retrieval augmented generation”

…Llama 4, showcasing how to set up core steps around ingestion, retrieval, and generation using LlamaIndex workflows, as shown in this tweet. The tutorial focuses on core steps around ingestion, retrieval, and generation. Auth0 and…

…with Azure AI Search and Azure OpenAI to build a robust Retrieval-Augmented Generation (RAG) system. Learn how to implement custom data connectors for Azure AI Search and use LlamaIndex Workflows to create a powerful RAG system.…

…Members clarified the difference between training and RAG (Retrieval-Augmented Generation). HEDT Threadripper Defies Consumer Labels: Members debated whether AMD Threadripper CPUs should be considered consumer grade, citing their marketing …

…sparking discussions on its retrieval performance and compute requirements. Fine-tuning LLaMA-3 presented challenges like quantization degradation, EOS token generation, and embedding layer compatibility across bit formats. A potential…

…fine-tuning, PEFT-techniques like LoRA, as well as the usage of retrieval-augmented generation (RAG). They conclude that starting with a base model fine-tuned for storytelling might be the best approach for @hellblazer.666's project. Links …

…running a server via LM Studio and using AnythingLLM can set up Retrieval Augmented Generation. "start a server through LM Studio's Local Server tab and then run AnythingLLM." Fine-tuning not supported in LM Studio: LM Studio does not…

…it may not provide desired results. Alternatives like RAG (Retrieval-Augmented Generation) for data retrieval were recommended. The community indicated that traditional analytical methods might yield better insights for specific use cases…

…context window and ability to process attached files using retrieval-augmented generation (RAG). API vs. ChatGPT for Cost-Effective Solutions: @doublefelix is exploring options to keep costs minimal while automating the processing of…

…RAG for enhanced LLMs: Discussion included the potential use of Retrieval-Augmented Generation (RAG) to enable better responses by feeding additional data to a language model. RAG could help resolve issues related to insufficient context in…

…AI for Academic Ingenuity: An individual is developing a Retrieval-Augmented Generation (RAG) model to enhance their college's search capabilities, detailing an intent to include both .edu domains and external review sites like…

…Resources for RAG: For those looking for resources on RAG (Retrieval-Augmented Generation), Hugging Face's Open-Source AI Cookbook was suggested. This resource includes sections dedicated to RAG recipes and other AI applications. Running…

…Feedback on RAG Techniques: .sysfor sought feedback on RAG (Retrieval-Augmented Generation) strategies to link vendor questions with indexed QA pairs. Suggestions included indexing QA pairs and generating variations on questions to enhance …