A huge thank you to @linesofcodedev who contributed the whole @huggingface/inference package! Want to generate images with stable diffusion? It's just a few lines of code. Set a token if you want higher usage limits. 2/2
AI
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Hugging Face releases JavaScript libraries for browser and Node
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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 -
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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Dyson’s Planned Obsolescence Strategy Criticized in Support Chat
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I’m kinda digging the radical honesty in the support chat with planned-obsolescence-
@dyson -
LLM Bias: Recognition, Challenges, and Iterative Improvement Process
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the bias is widely recognized as a concerning issue and being worked on. this is not a trivial process – LLM behavior is emergent from large training datasets; tuning it involves setting up evaluations, then running experiments to improve them over time.
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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 -
FLAN2 Paper on Language Model Fine-tuning Released
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Oh I mean the flan2 paper. https://
arxiv.org/abs/2210.11416 -
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.