It's the 5th & the Whisper fine-tuning event (powered by @LambdaAPI
) is officially a go!! As part of the launch, we'll be hosting talks today at 17:30 CET 1. @OpenAI
's @_jongwook_kim on the Whisper architecture.
2. @MetaAI
's @ChanghanWang on the VoxPopuli dataset.
GENERATIVE AI
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Whisper Fine-tuning Event with OpenAI and Meta Talks
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Palette: AI Tool Colorizes Black and White Images
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Palette is an AI tool that allows you to colorize black-and-white images https://
futurepedia.io/tool/palette #futurepedia #ai #editing #cyberpunk -
Optimizing AI Chat Cost Per Conversation Economics
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average is probably single-digits cents per chat; trying to figure out more precisely and also how we can optimize it
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Monetizing AI: Addressing Eye-Watering Compute Costs
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we will have to monetize it somehow at some point; the compute costs are eye-watering
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ChatGPT Reaches 1 Million Users in Record Time
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ChatGPT launched on wednesday. today it crossed 1 million users!
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Safety Guidelines Modified: Known AI Jailbreaks No Longer Work
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not retraining doesnt mean not modifying the safety guidelines, which is what people have been observing (see the links, a lot of the known jailbreaks dont work anymore)
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Remarkable harmlessness of ChatGPT overshadowed by shifted goalposts
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The posts of "Look, I got ChatGPT to be evil!" are missing the point. It's a remarkable achievement that it seems to never reply to an innocent question with a harmful answer. It's sad the goal posts shifted so fast that nobody cared when it happened.
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EDGE: AI-Generated Realistic Dances Synchronized with Music
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Found this interesting read. Imagine creating realistic, physically plausible dances that stay true to the music! This is made possible with EDGE – Editable Dance GEneration.
— Satya Mallick (@LearnOpenCV) 5 décembre 2022
See it in action: https://t.co/bUfdQm5CDA
Paper: https://t.co/Byz1ik4qFw #github #arxiv #edge #ai pic.twitter.com/7ExZYdB1K6Found this interesting read. Imagine creating realistic, physically plausible dances that stay true to the music! This is made possible with EDGE – Editable Dance GEneration. See it in action: https://
edge-dance.github.io
Paper: https://
arxiv.org/abs/2211.10658 #github #arxiv #edge #ai -
Initial shock at LLM code errors fades with experience
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How much of that is just novelty, though? The first time I noticed an error in LLM code I trusted, it felt fundamentally unfair — as though the code were maliciously forged rather than just wrong. But you develop an intuition for it eventually.
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Copilot increases code reliability by generating tedious unit tests
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I get the concern, but I don’t see it much in practice e.g. with Copilot. The code I most trust Copilot to generate is unit tests of code I’ve written myself. My code ends up being more reliable because I’m more inclined to write tedious verification code I would otherwise skip.