That's totally true, but I think the problem is once you want to adopt or use more of the recent (research) stuff and/or need more customization. E.g., all the latest LLM and vision transformer is basically exclusively PyTorch.
OPEN SOURCE
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Multi-framework world: JAX, TensorFlow, and PyTorch coexistence
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I'd add JAX to the list as well. In my view all three frameworks are here to stay for the long term and you should have at least some familiarity with all three. We're in a multi-framework world now. For applied ML & production, TF remains the most well-rounded option.
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PyTorch Preference: Balancing Ease of Use with Flexibility
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For me it's PyTorch because I like the trade-off between being ease of use but also being flexible and customizeable. Plus almost all people I interact with (research and companies) are using PyTorch. But yeah, I think your mileage may vary based on your collaborators.
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Fabric positioned between PyTorch and Trainer abstraction levels
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Glad to hear it's useful! Btw if you are already using the Trainer, then you probably don't need Fabric. I would think of Fabric as a thing between pure PyTorch and using the Trainer 🙂
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Whisper Hack Enables Multilingual Transcription Beyond English
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We found a hack to make Whisper transcribe into *any* language (not just English)! ⚡️
— Vaibhav (VB) Srivastav (@reach_vb) 26 juin 2023
This is an EXPERIMENTAL one-step feature: enter your audio as input, and get a transcription in another language. 🔥
Check it out here: https://t.co/afgeUfw2xF pic.twitter.com/7DoJ93Z2ZBWe found a hack to make Whisper transcribe into *any* language (not just English)! This is an EXPERIMENTAL one-step feature: enter your audio as input, and get a transcription in another language. Check it out here: https://
github.com/Vaibhavs10/tra
nslate-with-whisper
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RHEL Clones Lack Enterprise Value Beyond Free Distribution
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Hard to see any value they invested into the source. Their value was "RHEL for free!" but the value of RHEL was always the investment and enterprise support, neither of which the clones could deliver.
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Open Source AI Democratizes Economic Gains for Startups
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This is my 5-minute testimony before the US Congress!
— clem 🤗 (@ClementDelangue) 26 juin 2023
Open science and open source AI distribute economic gains by enabling hundreds of thousands of small companies and startups to build with AI. It fosters innovation, and fair competition between all.
Thanks to ethical… pic.twitter.com/a30RMV2oZWThis is my 5-minute testimony before the US Congress! Open science and open source AI distribute economic gains by enabling hundreds of thousands of small companies and startups to build with AI. It fosters innovation, and fair competition between all. Thanks to ethical
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HuggingChat Python API: Free Open Source ChatGPT Alternative
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HuggingChat is a free and open source alternative to commercial chat offerings such as ChatGPT. The unofficial Python API gives you immediate access, without signup, for free. HuggingChat Python API: Your No-Cost Alternative – KDnuggets https://
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Collaborative LLM Project with Falcon and LLaMA Teams
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This was a really cool project with @clefourrier @nathanhabib1011 @osanseviero and a lot of help from @slippylolo from the Falcon team and the amazing LLaMA team, in particular Xavier Martinet, Aurélien Rodriguez and Sharan Narang!
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MMLU Benchmark Updated in Open LLM Leaderboard
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25/ THE END PS: Please, come comment/discuss at https://
huggingface.co/spaces/Hugging
FaceH4/open_llm_leaderboard/discussions/82
… PPS: During the writing of this post, @Ollmer & the community have done an amazing work updating MMLU in the Harness to make it similar to the original. We're thus now updating the leaderboard based on it!