The best summary I’d ever read of what Hugging Face is (and is doing) today
@thom_wolf
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Expert shares GPT-4 insights in MIT Technology Review
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shared my opinion on GPT4 with @strwbilly in MIT tech review https://
technologyreview.com/2023/03/14/106
9823/gpt-4-is-bigger-and-better-chatgpt-openai/
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GPT-4 Release Disappoints: Missing Multimodal Generation
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I’m not gonna lie, the GPT4 just released is quite less exciting than what I was expecting No multimodale generations and a tech report carefully emptied of any useful info on the model/training/compute I guess we’re getting spoiled in today’s AI world
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Authors Developing New Feature with Gradio Team
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Very soon, the authors are working on it with @_akhaliq and the @Gradio team!
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Visual ChatGPT: Connecting Multiple Foundation Models via Prompting
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I'm super impressed by the "visual" ChatGPT by Microsoft Research Asia, connecting ChatGPT with more than dozen of open-source visual/captioning foundation models through smart prompting
— Thomas Wolf (@Thom_Wolf) 11 mars 2023
Code is super simple, it's a single python file built on top of https://t.co/MQ5PcVyjGi… pic.twitter.com/spcIohmOEfI'm super impressed by the "visual" ChatGPT by Microsoft Research Asia, connecting ChatGPT with more than dozen of open-source visual/captioning foundation models through smart prompting Code is super simple, it's a single python file built on top of https://
github.com/microsoft/visu
al-chatgpt
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Safe AI Release Strategies: Open vs Closed Source Approaches
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agree on nuanced discussion! Could start from the fascinating overview of safe release strategies by @IreneSolaiman
: https://
arxiv.org/abs/2302.04844 Irene's worked on dozens releases both at & OpenAI (Bloom, GPT, Stable diff) – Such a unique view across both closed & open-source -
AI Detection False Positives Impact on Creators and Students
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I’ve been saying that for some time now. false positive are much worse than false negative in AI detection. having your work mistaken for an AI generation when you’ve spend hours manually crafting something is unfair and super hard to fight. students but also any creator/writer
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Scaling Laws Limited Predictors of AI Model Capacity
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yes, the scaling law, be it the chinchilla or Kaplan ones, are not at all a prediction/measure of the capacity of a model -in retrospect if you take a system-wide approach, with deployment/finetuning in consideration, they probably matter a lot less than people think
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Aligning Powerful AIs in Open-Source World
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I predict the same long term trend for AI – sharing is such a deep human trait & this lead me to the 2nd –even more important–thread I need to write which is: *how do we align powerful AIs in an open-source world* but this one is for another day 🙂 8/N
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Open-source renaissance: Microsoft’s pivot to Linux advocacy
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Well mostly… open-source… as a phoenix rising from the ashes A flurry of open-source softwares and communities up to the point that Microsoft it-self pivoted to become the linux-based open-source software advocate that we now today. 7/8