8). Retrieval-Augmented Reasoning for LLMs – extends the rStar reasoning framework to enhance reasoning accuracy and factual reliability of LLMs; it leverages a Monte Carlos Tree Search (MCTS) framework with explicit retrieval-augmented reasoning to produce multiple candidate
GENERATIVE AI
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Auto-RAG: Autonomous Iterative Retrieval Model with Superior Performance
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5). Auto-RAG – an autonomous iterative retrieval model with superior performance across many datasets; Auto-RAG is a fine-tuned LLM that leverages the decision-making capabilities of an LLM.
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Genie 2: Foundation Model Generates Playable 3D AI Training Environments
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2). Genie 2 – a foundation world model that generates playable 3D environments from single prompt images, enabling endless training scenarios for AI agents with features like physics simulation, character animation, and object interactions…https://t.co/OvKvtfJLVz
— DAIR.AI (@dair_ai) 8 décembre 20242). Genie 2 – a foundation world model that generates playable 3D environments from single prompt images, enabling endless training scenarios for AI agents with features like physics simulation, character animation, and object interactions…
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Top ML Papers Week: Genie 2, GenCast, OpenAI o1
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It was a huge week of AI and LLM papers. Here are the top ML Papers of the Week (Dec 2-8): – Genie 2
– GenCast
– OpenAI o1
– Auto-RAG
– Reverse Thinking
– Retrieval-Augmented Reasoning for LLMs Read on for more: -
OpenAI o1 Model Series Demonstrates 50% Faster Reasoning Capabilities
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1). OpenAI o1 – a model series trained with large-scale reinforcement learning to reason using chain of thought; o1 shows significant improvements across benchmarks related to math, code, and science; o1 is claimed to be 50% faster in generating thinking steps than o1-preview.
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3D Reconstruction NeRF Technology Now Runs on iPhone
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This was the state of the art in 3D reconstruction in 2022.
— Bilawal Sidhu (@bilawalsidhu) 8 décembre 2024
Instant NGP hit different — it was a huge leap to be able to train and visualize NeRFs on a consumer grade Nvidia GPU.
Fast forward to 2024, and I can process these datasets on the frigging iPhone in my pocket. pic.twitter.com/lHUz5SgcSLThis was the state of the art in 3D reconstruction in 2022. Instant NGP hit different — it was a huge leap to be able to train and visualize NeRFs on a consumer grade Nvidia GPU. Fast forward to 2024, and I can process these datasets on the frigging iPhone in my pocket.
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Building Brand Trust: Taste, Promises, and AI Technology
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Some key takeaways: 1. Having good taste is knowing what other people want just before they do. 2. A brand is more than a logo—it’s what people expect from you, and how well you keep that promise. Don’t overpromise and underdeliver, especially with new tech like AI. Build trust
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Strong Data Foundation But Models Need Significant Work
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I’m very bullish on it – strong data foundation; but the models and experiences needs a LOT of work https://t.co/KheUM38njx
— Bilawal Sidhu (@bilawalsidhu) 8 décembre 2024I’m very bullish on it – strong data foundation; but the models and experiences needs a LOT of work
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AI-Generated NFT Masterpieces Launch on Montreal Collection
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Transcend into the dawn of #CryptoAIArt ONLY 24 IMMORTAL MASTERPIECES LEFT—each a singular code-born marvel and flawlessly etched onto the blockchain. Verified Collection: http://
opensea.io/collection/mon
trealai
… Rare. Eternal. Visionary. #AIArt #MontrealAI #NFT -
Building the Application Layer on Generative AI Capabilities
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Exactly this: “To me the story of 2024 has been filling in those question marks in that illustration. The product overhang from the generative AI capabilities we have today are absolutely massive: there are so many new things to be built, and completely new application layer