2. Awesome Data Github Repository In this repository, you can find direct links to all the Public datasets, and you can find all sorts of datasets like Images, Text, Audio, and Tabular.
OPEN SOURCE
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Facebook’s LLaMA AI model leaked onto GitHub
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In case you missed it: Facebook's LLaMA AI model, intended for government and approved researchers only, was leaked onto Github: https://
github.com/facebookresear
ch/llama
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Comparing Model Emissions Across Different Countries Misleading
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No. Comparing the emissions of different models trained in different countries is what would actually be misleading. In this case it would falsely suggest that training a BLOOM model emits less CO2 than training a LLaMA, while this is the opposite.
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Running HF Models Locally with JavaScript Inference
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as a first step, i opened this issue to write a few how-to guides on how to run (some) HF models in local inference in JS: https://
github.com/huggingface/hu
ggingface.js/issues/82
… Feel free to chime in there. cc @coyotte508 @radamar -
Meta Open-Sources Casual Conversations v2 Dataset for AI Fairness
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Today we’re open-sourcing Casual Conversations v2 — a consent-driven dataset of recorded monologues that includes ten self-provided & annotated categories which will enable researchers to evaluate fairness & robustness of AI models. More details on this new dataset
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OpenXLA: Running ML Models Efficiently on Any Hardware
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You can now use and contribute to #OpenXLA Making it easy to run any model efficiently on any hardware is a deep technical challenge, and an important goal for our mission to democratize good ML!
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Deploying YOLOv5 Object Detection with DeepSparse Pipeline
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Here's another simple example of deploying a YOLOv5 object detection model using the DeepSparse Pipeline. Check out the Github Repo here: http://
github.com/neuralmagic/de
epsparse
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Google Collaborates on OpenXLA Project for AI Tooling
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Open source software gives everyone the opportunity to help create breakthroughs in AI. At Google, we’re excited to collaborate on the OpenXLA Project to foster great AI tooling (great ML performance, framework compatibility, highly configurable & more).
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Ruby Template Updated to Latest Version in Nixpkgs
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Thank you for the feedback! We've updated our Ruby template to use Ruby 3.1, which is the latest version in Nixpkgs. Check it out here:
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Decentralized Control and Diversity in AI Systems
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The world needs decentralized control and much more diversity in all directions. Not the opposite.