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@@ -31,7 +31,7 @@ At DAIR.AI we ❤️ reading ML papers so we've created this repo to highlight t
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| 1) **Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields** - combines mip-NeRF 360 and grid-based models to improve NeRFs that train 22x faster than mip-NeRF 360. | [Paper](https://arxiv.org/abs/2304.06706), [Tweet](https://twitter.com/dair_ai/status/1647613826425147401?s=20)|
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| 1) **Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields** - combines mip-NeRF 360 and grid-based models to improve NeRFs that train 22x faster than mip-NeRF 360. | [Paper](https://arxiv.org/abs/2304.06706), [Tweet](https://twitter.com/dair_ai/status/1647613826425147401?s=20)|
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| 2) **Generative Agents: Interactive Simulacra of Human Behavior** - proposes an architecture that extends LLMs to build agents that enable simulations of human-like behavior; these capabilities are possible by storing a complete record of an agent's experiences, synthesizing memories over time into higher-level reflections, and retrieving them dynamically to plan behavior. | [Paper](https://arxiv.org/abs/2304.03442), [Tweet](https://twitter.com/dair_ai/status/1647613828417351682?s=20) |
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| 2) **Generative Agents: Interactive Simulacra of Human Behavior** - proposes an architecture that extends LLMs to build agents that enable simulations of human-like behavior; these capabilities are possible by storing a complete record of an agent's experiences, synthesizing memories over time into higher-level reflections, and retrieving them dynamically to plan behavior. | [Paper](https://arxiv.org/abs/2304.03442), [Tweet](https://twitter.com/dair_ai/status/1647613828417351682?s=20) |
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-| 3) **XXX** - presents an agent that combines LLMs for autonomous design, planning, and execution of scientific experiments; shows emergent scientific research capabilities, including the successful performance of catalyzed cross-coupling reactions. | [Paper](https://arxiv.org/abs/2304.05332), [Tweet](https://twitter.com/dair_ai/status/1647613830233571328?s=20) |
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+| 3) **Emergent autonomous scientific research capabilities of large language models** - presents an agent that combines LLMs for autonomous design, planning, and execution of scientific experiments; shows emergent scientific research capabilities, including the successful performance of catalyzed cross-coupling reactions. | [Paper](https://arxiv.org/abs/2304.05332), [Tweet](https://twitter.com/dair_ai/status/1647613830233571328?s=20) |
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| 4) **Automatic Gradient Descent: Deep Learning without Hyperparameters** - derives optimization algorithms that explicitly leverage neural architecture; it proposes a first-order optimizer without hyperparameters that trains CNNs at ImageNet scale. | [Paper](https://arxiv.org/abs/2304.05187), [Tweet](https://twitter.com/dair_ai/status/1647613832804589569?s=20) |
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| 4) **Automatic Gradient Descent: Deep Learning without Hyperparameters** - derives optimization algorithms that explicitly leverage neural architecture; it proposes a first-order optimizer without hyperparameters that trains CNNs at ImageNet scale. | [Paper](https://arxiv.org/abs/2304.05187), [Tweet](https://twitter.com/dair_ai/status/1647613832804589569?s=20) |
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| 5. **ChemCrow: Augmenting large-language models with chemistry tools** - presents an LLM chemistry agent that performs tasks across synthesis, drug discovery, and materials design; it integrates 13 expert-design tools to augment LLM performance in chemistry and demonstrate effectiveness in automating chemical tasks. | [Paper](https://arxiv.org/abs/2304.05376) , [Tweet](https://twitter.com/dair_ai/status/1647613834813644800?s=20)
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| 5. **ChemCrow: Augmenting large-language models with chemistry tools** - presents an LLM chemistry agent that performs tasks across synthesis, drug discovery, and materials design; it integrates 13 expert-design tools to augment LLM performance in chemistry and demonstrate effectiveness in automating chemical tasks. | [Paper](https://arxiv.org/abs/2304.05376) , [Tweet](https://twitter.com/dair_ai/status/1647613834813644800?s=20)
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| 6) **One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era** - A Survey of ChatGPT and GPT-4 | [Paper](https://arxiv.org/abs/2304.06488) , [Tweet](https://twitter.com/dair_ai/status/1647613836617195525?s=20) |
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| 6) **One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era** - A Survey of ChatGPT and GPT-4 | [Paper](https://arxiv.org/abs/2304.06488) , [Tweet](https://twitter.com/dair_ai/status/1647613836617195525?s=20) |
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