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www.alignmentforum.org | ||
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amatria.in
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| | | | | 2024 has been an intense year for AI. While some argue that we haven't made much progress, I beg to differ. It is true that many of the research advances from 2023 have still not made it to mainstream applications. But, that doesn't mean that research is not making progress all around! | |
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www.lesswrong.com
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| | | | | Introduction You open the Alignment Forum one day, and a new post stares at you. By sheer luck you have some time, so you actually read it. And then... | |
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www.greaterwrong.com
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| | | | | The DeepMind mech interp team has pivoted from chasing the ambitious goal of complete reverse-engineering of neural networks, to a focus on pragmatically making as much progress as we can on the critical path to preparing for AGI to go well, and choosing the most important problems according to our comparative advantage. We believe that this pragmatic approach has already shown itself to be more promising. We don't claim that these ideas are unique, indeed we've been helped to these conclusions by the thoughts of many others both in academia (1 2 3) and the safety community (1 2 3). But we have found this framework helpful for accelerating our progress, and hope to distill and communicate it to help other have more impact. We close with recommendations for h... | |
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wandb.ai
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| | | [AI summary] This article explains Retrieval Augmented Generation (RAG), a technique that enhances AI models by integrating real-time data retrieval with generative models to improve accuracy, reduce hallucinations, and adaptability in dynamic fields like healthcare, finance, and customer support. | ||
