Know the name of your strategic errors.
AI
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Elements of People Success in Engineering and Industry 4.0
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The Elements of People Success https://
glintinc.com/blog/the-eleme
nts-of-people-success
… @ASMEdotorg @3DSNorthAmerica @Dassault3DS @cyngn @MargaretSiegien @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Engineering #Industry40 #Robots #Automation #AI #Manufacturing -
Midjourney Releases V4 Model From Scratch After Nine Months
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V4 is a new model trained from scratch by Midjourney. Totally new codebase. Been in the works for 9 months
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New Security Analysis Tool for Deployment Best Practices
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We know that data is one of the most valuable assets. That's why we've built security into every layer Now, we're excited to introduce Security Analysis Tool, which enables customers to review current deployments against our security best practices https://
bit.ly/3E44fov -
Montreal AI Building AGI Merch and NFT Brands
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AI | AGI Merch WE ARE BUILDING AI Clothes | AGI Clothes AIChampagne.Eth | AIWhisky.Eth | AIBeer.Eth https://
quebecartificialintelligence.com/aimerch http://
MONTREAL.AI: Winning the #AGI Race #AGI #AIMerch #AGIMerch #MontrealAI -
Parallel Experiments Challenge in Multilingual Machine Learning Project
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I also think there was a will to experiments on too many aspects at the same time and in parallel in BS: try a new organisation, a multilingual model with low-ressources languages, a new way of building a dataset (crowd sourcing of sources), attempts to train in fp16, etc etc
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Large AI Teams: BigScience Lessons on Project Organization
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yes, agree on the exhaustion feeling. BigScience was an experiment in trying to involve as many/diverse people as possible but a take-away is that too large teams can be counter-productive. Smaller projects like T0/ethics/RAIL were more successful inside BS than larger Bloom imo
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Elon Musk Twitter Acquisition Speech Moderation Problems
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That was quoting @reckless in this fantastic article https://
theverge.com/2022/10/28/234
28132/elon-musk-twitter-acquisition-problems-speech-moderation
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HyperWrite Users Share Positive Feedback Messages
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Love getting messages like this from HyperWrite users
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K-Shot Learning for Non-RLHF Tuned LLMs
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I’ve never seen it work on anything other than RLHF-tuned GPT-3. I’ve wondered if you could k-shot a non-RLHF model with meta-examples of instruction templates followed by input/output pairs for each, but haven’t tried it.