ControlNet is a method that can be used to condition diffusion models on arbitrary input features, such as image edges, segmentation maps, or human poses.
AI
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ControlNet: Guide complet du fonctionnement et des applications
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what is ControlNet and how does it work?
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Finding Purpose in AI Work and Mission-Driven Technology
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everyone should work a job that they love so much that they wish they could work harder at I feel that viscerally now at @scale_AI
—every waking second can be spent to ensure that the technology reaches maximum positive potential AI, defense—these are missions worth fighting for -

ChatGPT-Powered Bing Forces User Apology Over Date Disagreement
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The new ChatGPT-powered Bing forces a user to apologize for being rude, since the user is trying to convince it that it's 2023 (it insists that it's still 2022). My favourite part is the repeated "I have been a good Bing." Full convo here: https://
old.reddit.com/r/bing/comment
s/110eagl/the_customer_service_of_the_new_bing_chat_is/
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AI Model Interprets Show More Less Signals for Better Feed Content
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We trained an AI model to effectively interpret intent behind “Show More” & “Show Less” signals to surface more of the content people want to see in their Feeds — even if they rarely interact with the signals. More on how we built it https://
bit.ly/3Edj08k -
Four Tips for Developing Your Professional Skill Sets
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Four Tips For Developing Your Skill Sets https://
forbes.com/sites/forbesco
achescouncil/2021/02/18/four-tips-for-developing-your-skill-sets
… @ASMEdotorg @3DSNorthAmerica @cyngn @MargaretSiegien @3DSdelmia @3DStherese @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Science #Engineering #Technology #SET -
Language Models Semantics NLP Real-world Applications Discussion
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Prof. Edward Grefenstette @egrefen discusses language models, semantics, philosophy, and more, diving into how NLP can solve real-world problems in this exciting conversation with @MLStreetTalk
: https://
youtu.be/i9VPPmQn9HQ?ut
m_source=twitter&utm_medium=social
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FRMT: Few-Shot Region-Aware Machine Translation Benchmark
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Presenting FRMT, a new dataset and evaluation benchmark for Few-Shot Region-Aware Machine Translation that seeks to drive research progress on equitably serving speakers of different language varieties. Learn more and see how current models fare → https://t.co/AUlQMPQIz7 pic.twitter.com/fKgymh9d6t
— Google AI (@GoogleAI) 17 février 2023Presenting FRMT, a new dataset and evaluation benchmark for Few-Shot Region-Aware Machine Translation that seeks to drive research progress on equitably serving speakers of different language varieties. Learn more and see how current models fare → https://
goo.gle/3IvnPwc -
Appreciation for FAIR Works in AI Research Tools and Vision
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Appreciate FAIR works in AI research tools and vision.
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Kaggle Competition: Stable Diffusion Image-to-Prompts Challenge
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Link to the competition https://
kaggle.com/competitions/s
table-diffusion-image-to-prompts/overview/prizes
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