Results for “retrieval augmented generation”

…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 …

…@mkbousnina is inquiring about subscription fees for a RAG (Retrieval-Augmented Generation) solution, including GPT-4 fees. Discussion revolves around the complexity and how to value such a service, acknowledging that LLamaIndex has…

…Unresolved: @rasdani inquired about end-to-end optimization of Retrieval-Augmented Generation (RAG) with Large Language Models (LLMs) using gradients, referencing the LESS paper which tackles optimizer-aware data selection but does not…

…discussed Astute RAG, a novel approach to deal with imperfect retrieval augmentation and knowledge conflicts in LLMs. It adaptively elicits essential information from LLMs' internal knowledge and iteratively consolidates internal and…

…second for prompt processing and 10 tokens per second for text generation, demonstrating good performance on modern Android hardware. The author provides a link to the beta release and invites feedback, particularly on character list and…

…identifiers, custom similarity scores, and asynchronous node retrieval, though some features might require custom implementation due to current limitations. Knowledge Generation from Documents: Discussion around generating questions from…

…3.5 Sonnet, best of 4 runs. AI Development and Models Document Retrieval Techniques: @mervenoyann highlighted methods for multimodal RAG (retrieval-augmented generation), suggesting models like Donut or LayoutLM for improved structured…

…It's useful for roleplay, general consumer usecases, and Retrieval Augmented Generation (RAG). Run Command R+ with APIPixtral 12B - API, Providers, Stats: The first image to text model from Mistral AI. Its weight was launched via torrent…