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@@ -39,7 +39,7 @@ At DAIR.AI we ❤️ reading ML papers so we've created this repo to highlight t
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| 5. **Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond** - a comprehensive and practical guide for practitioners working with LLMs; discusses many use cases with practical applications and limitations of LLMs in real-world scenarios. | [Paper](https://arxiv.org/abs/2304.13712) , [Tweet](https://twitter.com/dair_ai/status/1652693180381274114?s=20)
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| 5. **Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond** - a comprehensive and practical guide for practitioners working with LLMs; discusses many use cases with practical applications and limitations of LLMs in real-world scenarios. | [Paper](https://arxiv.org/abs/2304.13712) , [Tweet](https://twitter.com/dair_ai/status/1652693180381274114?s=20)
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| 6) **AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head** - connects ChatGPT with audio foundational models to handle challenging audio tasks and a modality transformation interface to enable spoken dialogue. | [Paper](https://arxiv.org/abs/2304.12995) , [Tweet](https://twitter.com/dair_ai/status/1652693181895409666?s=20) |
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| 6) **AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head** - connects ChatGPT with audio foundational models to handle challenging audio tasks and a modality transformation interface to enable spoken dialogue. | [Paper](https://arxiv.org/abs/2304.12995) , [Tweet](https://twitter.com/dair_ai/status/1652693181895409666?s=20) |
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| 7) **DataComp: In search of the next generation of multimodal datasets** - releases a new multimodal dataset benchmark containing 12.8B image-text pairs. | [Paper](https://arxiv.org/abs/2304.14108), [Tweet](https://twitter.com/dair_ai/status/1652693183493447681?s=20) |
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| 7) **DataComp: In search of the next generation of multimodal datasets** - releases a new multimodal dataset benchmark containing 12.8B image-text pairs. | [Paper](https://arxiv.org/abs/2304.14108), [Tweet](https://twitter.com/dair_ai/status/1652693183493447681?s=20) |
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-| 8) **ChatGPT for Information Extraction ** - provides a deeper assessment of ChatGPT's performance on the important information extraction task. | [Paper](https://arxiv.org/abs/2304.11633), [Tweet](https://twitter.com/dair_ai/status/1652693184927989768?s=20) |
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+| 8) **ChatGPT for Information Extraction** - provides a deeper assessment of ChatGPT's performance on the important information extraction task. | [Paper](https://arxiv.org/abs/2304.11633), [Tweet](https://twitter.com/dair_ai/status/1652693184927989768?s=20) |
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| 9) **Comparing Physician vs ChatGPT** - investigates if chatbot assistants like ChatGPT can provide responses to patient questions while emphasizing quality and empathy; finds that chatbot responses were preferred over physician responses and rated significantly higher in terms of both quality and empathy. | [Paper](https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2804309), [Tweet](XXX) |
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| 9) **Comparing Physician vs ChatGPT** - investigates if chatbot assistants like ChatGPT can provide responses to patient questions while emphasizing quality and empathy; finds that chatbot responses were preferred over physician responses and rated significantly higher in terms of both quality and empathy. | [Paper](https://jamanetwork.com/journals/jamainternalmedicine/fullarticle/2804309), [Tweet](XXX) |
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| 10) **Stable and low-precision training for large-scale vision-language models** - introduces methods for accelerating and stabilizing training of large-scale language vision models. | [Paper](https://arxiv.org/abs/2304.13013), [Tweet](https://twitter.com/dair_ai/status/1652693187960479745?s=20) |
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| 10) **Stable and low-precision training for large-scale vision-language models** - introduces methods for accelerating and stabilizing training of large-scale language vision models. | [Paper](https://arxiv.org/abs/2304.13013), [Tweet](https://twitter.com/dair_ai/status/1652693187960479745?s=20) |
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