Results for “retrieval augmented generation”

…tension that I feel, you know, I'm sort of halfway between the retrieval augmented generation world, which is kind of like V1 of whatever people I've been building with lms, and then V2 of it has been the agent world. [00:53:09] I feel this…

…Yeah, chat PDF doing super well. Once RAG started working, like retrieval augmented generation, there was that. But since then, as people are more problem driven. And they're like trying to say, okay, how can we use this? We see a much…

…we have nine tracks. So we have multimodality. We have retrieval augmented generation. Featuring LLM frameworks and vector databases, evals and LLM ops, open source models, code gen and dev tools, GPUs and inference, AI agent applications, …

…the cognitive abilities that we discussed with LLMs, which is a retrieval augmented generation has large language model. [00:42:59] Nyla Worker: To converse, uh, we have a text to speech, automatic speech recognition. We're working on…

…it the retriever, which basically does, it does RAG, it does retrieval augmented generation against the content you've uploaded, but Code Interpreter also has access to the files that you've uploaded, and those are both in the same bucket, …

…area. So today's zero shot, few shot learning equivalent is retrieval augmented generation, you know, RAC, which is like, just like few shot learning is a thing. Like it's a real thing. It's a useful thing. It's not a thing anybody would…

…an intense hatred for RAG. [01:50:11] Dylan Patel: Right, like retrieval augmented generation is, is, is like the most like, I just have an intense like innate hatred for it. Wait, wait, you retweeted me [01:50:18] swyx + Josh Albrecht:…

…different paradigm for, for text generation, reasoning, plan generation if we can get diffusion to work. [00:23:51] swyx: For text. And then the second one is Dowie Aquila's contextual AI, which is working on retrieval augmented language…