We're releasing JS libraries to interact with Hugging Face: https://
github.com/huggingface/hu
ggingface.js
…! Use them in the browser, or with Node / Bun / Deno. TS is supported. We're already using them in production! 1/2
INNOVATION
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Hugging Face releases JavaScript libraries for browser and Node
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LLM Model Release: Caution on Bleeding Edge AI Research
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I still am fwiw, I'm just not sure that this should apply to *bleeding edge* LLM models – they still feel new, are an active area of research, have non-trivial 2nd and 3rd order effects. I think it makes sense for some/smaller models, with some lag (e.g. GPT-2 release).
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5 Key Trends Shaping the Future of Artificial Intelligence
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5 key trends for #AI’s future
by @VentureBeat Learn more: https://
buff.ly/3ALDrGG #AI #BigData #MachineLearning #ArtificialIntelligence #ML #MI #Digital #DataScience #Analytics cc: @maxjcm @ronald_vanloon @aghiathchbib -
Essential Python Libraries for Machine Learning Work
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Python libraries for everyday machine learning work:
• Tensorflow
• NumPy
• Pandas
• Matplotlib
• Scikit-Learn
• XGBoost
• OpenCV
• Pillow Non-machine learning specific libraries:
• Requests
• Flask
• SQLAlchemy
• PyTest
• Black (credit: @svpino
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Domino Code Assist: Streamline Data Science Workflow
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If you're a data scientist looking to streamline your workflow and coding efficiency, this post is for you!. A "how to" video series illustrates how Domino Code Assist helps import, transform and visualize data, create and deploy data apps, plus more.
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Training Cutting Edge AI Requires Massive GPU Infrastructure and Expertise
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The reality of the situation is that training cutting edge AI demands tens of thousands of GPUs and their active, expert maintenance. Every company that wishes to be at the bleeding edge of AI will either need to build this (insane hard), or partner to some extent.
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Small Business Growth: Adapt, Adjust, and Automate Strategies
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Small businesses are feeling the squeeze of rising costs and labor shortages. How can they stay focused on growth? Glad to share my POV on "going back to basics with the 3A's: adapt, adjust, and automate" with @FT and @SAPConcur https://
linkedin.com/posts/yuheleny
u_cxo-spicesmart-traveling-episode-29-activity-7021906656502419457-dy2l?utm_source=share&utm_medium=member_desktop
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Open Source AI: Balancing Innovation with Accessibility and Safety
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lol meme; my current thinking is it's not clear that fully open source for *bleeding edge* AI is desirable (or sustainable). OpenAI is imo doing a lot by making AI (APIs, ChatGPT, CoPilot, …) available and dirt cheap. A lot of work (e.g. bias) still needed and actively ongoing.
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MIT AI Predicts Lung Cancer Risk Six Years in Advance
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MIT invented #AI that can predict your risk of lungcancer in 6 years’ time.
— Ronald van Loon (@Ronald_vanLoon) 3 mars 2023
by @wef#ArtificialIntelligence #MI #Healthcare #HealthTech #TechForGood
cc: @ianljones98 @nathealings @guzmannutrition pic.twitter.com/Knefn4BfT0MIT invented #AI that can predict your risk of lungcancer in 6 years’ time.
by @wef #ArtificialIntelligence #MI #Healthcare #HealthTech #TechForGood cc: @ianljones98 @nathealings @guzmannutrition -
SambaNova achieves GPT-175B performance with 10x efficient model
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TECHNICAL BLOG: Learn how one can use the SambaNova platform to develop a GPT 13B parameter model that can outperform a GPT 175B parameter model. https://
sambanova.ai/blog/https-ach
ieving-gpt-175b-level-accuracy-with-a-10x-more-efficient-model/
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