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Merge pull request #4 from ayushman17/main

📜docs: fix GitHub capitalization
Elvis Saravia 2 年之前
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      README.md

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README.md

@@ -83,7 +83,7 @@ At DAIR.AI we ❤️ reading ML papers so we've created this repo to highlight t
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 | 1) **PaLM-E: An Embodied Multimodal Language Model** - incorporates real-world continuous sensor modalities resulting in an embodied LM that performs tasks such as robotic manipulation planning, visual QA, and other embodied reasoning tasks. | [Paper](https://arxiv.org/abs/2303.03378), [Demo](https://palm-e.github.io/) , [Tweet](https://twitter.com/dair_ai/status/1634919222420836358?s=20)|
 | 1) **PaLM-E: An Embodied Multimodal Language Model** - incorporates real-world continuous sensor modalities resulting in an embodied LM that performs tasks such as robotic manipulation planning, visual QA, and other embodied reasoning tasks. | [Paper](https://arxiv.org/abs/2303.03378), [Demo](https://palm-e.github.io/) , [Tweet](https://twitter.com/dair_ai/status/1634919222420836358?s=20)|
 | 2) **Prismer: A Vision-Language Model with An Ensemble of Experts** - a parameter-efficient vision-language model powered by an ensemble of domain experts; it efficiently pools expert knowledge from different domains and adapts it to various vision-language reasoning tasks. | [Paper](https://arxiv.org/abs/2303.02506), [GitHub](https://github.com/NVlabs/Prismer), [Project](https://shikun.io/projects/prismer) , [Tweet](https://twitter.com/dair_ai/status/1634919224505257985?s=20) |
 | 2) **Prismer: A Vision-Language Model with An Ensemble of Experts** - a parameter-efficient vision-language model powered by an ensemble of domain experts; it efficiently pools expert knowledge from different domains and adapts it to various vision-language reasoning tasks. | [Paper](https://arxiv.org/abs/2303.02506), [GitHub](https://github.com/NVlabs/Prismer), [Project](https://shikun.io/projects/prismer) , [Tweet](https://twitter.com/dair_ai/status/1634919224505257985?s=20) |
-| 3) **Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models** - it connects ChatGPT and different visual foundation models to enable users to interact with ChatGPT beyond language format. | [Paper](https://arxiv.org/abs/2303.04671), [Gitub](https://github.com/microsoft/visual-chatgpt) [Tweet](https://twitter.com/dair_ai/status/1634919226396794882?s=20) |
+| 3) **Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models** - it connects ChatGPT and different visual foundation models to enable users to interact with ChatGPT beyond language format. | [Paper](https://arxiv.org/abs/2303.04671), [GitHub](https://github.com/microsoft/visual-chatgpt) [Tweet](https://twitter.com/dair_ai/status/1634919226396794882?s=20) |
 | 4) **A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT** - an overview of generative AI - from GAN to ChatGPT. | [Paper](https://arxiv.org/abs/2303.04226), [Tweet](https://twitter.com/dair_ai/status/1634919228339003393?s=20)  |
 | 4) **A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT** - an overview of generative AI - from GAN to ChatGPT. | [Paper](https://arxiv.org/abs/2303.04226), [Tweet](https://twitter.com/dair_ai/status/1634919228339003393?s=20)  |
 | 5. **Larger language models do in-context learning differently** - shows that with scale, LLMs can override semantic priors when presented with enough flipped labels; these models can also perform well when replacing targets with semantically-unrelated targets. | [Paper](https://arxiv.org/abs/2303.03846) , [Tweet](https://twitter.com/dair_ai/status/1634919230461345797?s=20)
 | 5. **Larger language models do in-context learning differently** - shows that with scale, LLMs can override semantic priors when presented with enough flipped labels; these models can also perform well when replacing targets with semantically-unrelated targets. | [Paper](https://arxiv.org/abs/2303.03846) , [Tweet](https://twitter.com/dair_ai/status/1634919230461345797?s=20)
 | 6) **Foundation Models for Decision Making: Problems, Methods, and Opportunities** - provides an overview of foundation models for decision making, including tools, methods, and new research directions.  | [Project](https://arxiv.org/abs/2303.04129) , [Tweet](https://twitter.com/dair_ai/status/1634919232650760192?s=20)  |
 | 6) **Foundation Models for Decision Making: Problems, Methods, and Opportunities** - provides an overview of foundation models for decision making, including tools, methods, and new research directions.  | [Project](https://arxiv.org/abs/2303.04129) , [Tweet](https://twitter.com/dair_ai/status/1634919232650760192?s=20)  |
@@ -190,7 +190,7 @@ At DAIR.AI we ❤️ reading ML papers so we've created this repo to highlight t
 | 1) **MusicLM: Generating Music From Text** - a generative model for generating high-fidelity music from text descriptions.    | [Paper](https://arxiv.org/abs/2301.11325), [Tweet](https://twitter.com/dair_ai/status/1619716425761042436?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)|
 | 1) **MusicLM: Generating Music From Text** - a generative model for generating high-fidelity music from text descriptions.    | [Paper](https://arxiv.org/abs/2301.11325), [Tweet](https://twitter.com/dair_ai/status/1619716425761042436?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)|
 | 2) **Hungry Hungry Hippos: Towards Language Modeling with State Space Models** - an approach to reduce the gap, in terms of performance and hardware utilization, between state space models and attention for language modeling. | [Paper](https://arxiv.org/abs/2212.14052), [Tweet](https://twitter.com/dair_ai/status/1619716427879174144?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
 | 2) **Hungry Hungry Hippos: Towards Language Modeling with State Space Models** - an approach to reduce the gap, in terms of performance and hardware utilization, between state space models and attention for language modeling. | [Paper](https://arxiv.org/abs/2212.14052), [Tweet](https://twitter.com/dair_ai/status/1619716427879174144?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
 | 3) **A Watermark for Large Language Models** - a watermarking framework for proprietary language models. | [Paper](https://arxiv.org/abs/2301.10226), [Tweet](https://twitter.com/dair_ai/status/1619716430127308800?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
 | 3) **A Watermark for Large Language Models** - a watermarking framework for proprietary language models. | [Paper](https://arxiv.org/abs/2301.10226), [Tweet](https://twitter.com/dair_ai/status/1619716430127308800?s=20&t=ygX07dsAPDF8_jwrxZIo1Q) |
-| 4) **Text-To-4D Dynamic Scene Generation** -  a new text-to-4D model for dynamic scene generation from input text.  | [Paper](https://arxiv.org/abs/2301.11280), [Github](https://make-a-video3d.github.io/), [Tweet](https://twitter.com/dair_ai/status/1619718845018828801?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)  |
+| 4) **Text-To-4D Dynamic Scene Generation** -  a new text-to-4D model for dynamic scene generation from input text.  | [Paper](https://arxiv.org/abs/2301.11280), [GitHub](https://make-a-video3d.github.io/), [Tweet](https://twitter.com/dair_ai/status/1619718845018828801?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)  |
 | 5) **ClimaX: A foundation model for weather and climate** -  a foundation model for weather and climate, including many capabilities for atmospheric science tasks.| [Paper](https://arxiv.org/abs/2301.10343), [Tweet](https://twitter.com/tungnd_13/status/1618642574427959296?s=20&t=ygX07dsAPDF8_jwrxZIo1Q), [Blog](https://www.microsoft.com/en-us/research/group/autonomous-systems-group-robotics/articles/introducing-climax-the-first-foundation-model-for-weather-and-climate/)  |
 | 5) **ClimaX: A foundation model for weather and climate** -  a foundation model for weather and climate, including many capabilities for atmospheric science tasks.| [Paper](https://arxiv.org/abs/2301.10343), [Tweet](https://twitter.com/tungnd_13/status/1618642574427959296?s=20&t=ygX07dsAPDF8_jwrxZIo1Q), [Blog](https://www.microsoft.com/en-us/research/group/autonomous-systems-group-robotics/articles/introducing-climax-the-first-foundation-model-for-weather-and-climate/)  |
 | 6) **Open Problems in Applied Deep Learning** - If you're looking for interesting open problems in DL, this is a good reference. Not sure if intentional but it also looks useful to get a general picture of current trends in deep learning with ~300 references. | [Paper](https://arxiv.org/abs/2301.11316) , [Tweet](https://twitter.com/dair_ai/status/1619719063915339777?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)  |
 | 6) **Open Problems in Applied Deep Learning** - If you're looking for interesting open problems in DL, this is a good reference. Not sure if intentional but it also looks useful to get a general picture of current trends in deep learning with ~300 references. | [Paper](https://arxiv.org/abs/2301.11316) , [Tweet](https://twitter.com/dair_ai/status/1619719063915339777?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)  |
 | 7) **DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature** -  an approach for zero-shot machine-generated text detection. Uses raw log probabilities from the LLM to determine if the passage was sampled from it. | [Paper](https://arxiv.org/abs/2301.11305), [Tweet](https://twitter.com/dair_ai/status/1619719169758613504?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)  |
 | 7) **DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature** -  an approach for zero-shot machine-generated text detection. Uses raw log probabilities from the LLM to determine if the passage was sampled from it. | [Paper](https://arxiv.org/abs/2301.11305), [Tweet](https://twitter.com/dair_ai/status/1619719169758613504?s=20&t=ygX07dsAPDF8_jwrxZIo1Q)  |