Results for “retrieval augmented generation”

…a fixed number of retrieved passages, regardless of whether retrieval is necessary, or passages are relevant, diminishes LM versatility or can lead to unhelpful response generation. • We introduce a new framework called Self-Reflective…

…late 2022, as developers rushed to build AI applications using Retrieval-Augmented Generation (RAG). This surge was partly driven by a widespread misconception that embedding-based similarity search was the only viable method for retrieving…

…AI Engineering Stack System of reasoning: Foundation model APIs Retrieval augmented generation (RAG) stack: Connects models to data AI UX: New modalities and interfaces beyond chatbots • Building Products with Foundation Models Replicating …

…asked almost immediately, what does this mean for chroma and retrieval and all the other things. We're in the process of benchmarking and evaluating. To see if it's actually suitable in the sort of retrieval augmented generation use case.…

…window). Today LlamaIndex is at the forefront of the RAG wave (Retrieval Augmented Generation), but in the beginning Jerry wasn’t focused on embeddings and search, but rather on understanding how models could summarize, link, and reason…

…the AI / UX community00:10:01 Most knowledge work is not text generation00:16:21 Finding the right constraints and interface for AI00:19:06 Linus' journey to working at Notion00:23:29 The importance of notations and interfaces00:26:07…

…can get that's close to it is what, you know, the fancy term is retrieval, augmented generation, but it's a fancy way of saying just do the search in the background and then use the results to create the actual response. That's what Bing…

…of Large Language Models vs the Mirage paperRecitation Augmented generationDSI++: Updating Transformer Memory with New DocumentsThe Efficiency Misnomer: “a model with low FLOPs may not actually be fast, given that FLOPs does not take into…

…You can get around the long context sometimes where you can do retrieval augmented generation or you do hierarchical recursive summarization, whereas evolution in like a session, because that state variable could undergo pretty rapid…

…their internal company Notion2 and Slack, what is now known as Retrieval Augmented Generation (RAG). As the Generative AI meetup scene came to life post Stable Diffusion3, Harrison saw a need for common abstractions for what people were…

…companies still rely heavily on search, and Simon sees hybrid retrieval semantic, text, regex, SQL-style patterns becoming more important, not less • How agentic workloads are changing search: the old pattern was one retrieval call up…

…that together with a proper semantic search system uh like the retrieval augmented generation and Vector database companies are doing so I think that that discussion has come up in open source a lot um and basically it I think it matches…