Results for “retrieval augmented generation”

…@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…

…math questions, proverbs, article summarization, and code generation. The model excelled in both English and Italian language tasks. Users expressed interest in an uncensored version of the 32B model, similar to the "Tiger" models. The…

…Question on Role of RAG: @pramod8481 inquired why RAG (Retrieval-Augmented Generation) isn't used for function calling and why there are fine-tuning datasets. @teknium clarified that function calling is open-ended and doesn't replay the…

…API: A member queried whether it was possible to implement RAG (Retrieval-Augmented Generation) functionality using the Pplxity API. They acknowledged that OpenAI supports RAG but have not tried it with Pplxity yet. This sparked discussions…

…113, Comments: 79): The post discusses the concept of using Retrieval-Augmented Generation (RAG) to preserve corporate knowledge from a 40GB Outlook inbox belonging to a long-term employee. The author envisions creating a database from the …

…Depth maps from existing Instagram profiles SDXL for image generation Possibly different checkpoints for various images IPAdapter face swap for consistency in facial features The commenter notes variance in skin texture and body across…