Great technical details on how NotebookLM works. https://t.co/sBv6h2TFFe
— Paul Roetzer (@paulroetzer) 30 octobre 2024
Great technical details on how NotebookLM works.
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Great technical details on how NotebookLM works. https://t.co/sBv6h2TFFe
— Paul Roetzer (@paulroetzer) 30 octobre 2024
Great technical details on how NotebookLM works.
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[#Article] Mistral AI and Qualcomm collaborate to integrate Mistrals into edge devices https://actuia.com/actualite/mistral-ai-et-qualcomm-collaborent-pour-integrer-les-ministraux-aux-appareils-en-peripherie/
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#AI #artificialintelligence
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Fuck yeah! MaskGCT – New open SoTA Text to Speech model! 🔥
— Vaibhav (VB) Srivastav (@reach_vb) 30 octobre 2024
> Zero-shot voice cloning
> Emotional TTS
> Trained on 100K hours of data
> Long form synthesis
> Variable speed synthesis
> Bilingual – Chinese & English
> Available on Hugging Face
Fully non-autoregressive… pic.twitter.com/CAUX6cTiAG
Fuck yeah! MaskGCT – New open SoTA Text to Speech model! > Zero-shot voice cloning
> Emotional TTS
> Trained on 100K hours of data
> Long form synthesis
> Variable speed synthesis
> Bilingual – Chinese & English
> Available on Hugging Face Fully non-autoregressive
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Has to go down the history books! What a legendary team and acquisition! Coincidentally, outside of transformers my real entry point to HF Hub was through spaces and Gradio. Still remember the feeling of putting together a nicely packaged demo in less than 7 lines of code.

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Exciting new chapter! On Nov 7, we’ll unveil DL-Backtrace, our new #ExplainableAI technique for #deeplearning at the MLOps Conference in Austin! Join us as we share insights on model explainability, benchmarking against leading techniques, and launch the AryaXAI product!

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Thrilled to see such widespread adoption of Yi! Huge thanks to @huggingface, @ollama, and mradermacher for your incredible support! ollama run hf(.)co/mradermacher/Yi-1.5-34B-Chat-16K-GGUF #Yi34B #LLM #AI Julien Chaumond (@julien_c) The @ollama – @huggingface integration has been rolled out for 1 week now, how it’s going? Obviously, pretty well! We’re having on average 4500 pulls per day. That’s about one pull every 20 seconds! What’s the top models you may ask? Llama-3.2-1B still on top thanks to its small size but yet still providing very helpful responses. Try it yourself! ollama run hf(.)co/bartowski/Llama-3.2-1B-Instruct-GGUF via @ngxson 🐐 and cc @bartowski1182 — https://nitter.net/julien_c/status/1850844166755864966#m
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We partnered with @Gradio to make it easy to start prototyping with #SambaNovaCloud! Once you have an API key, you just simply need to point to our registry & you can start using Lightning Fast Inference with your Gradio applications. More info:
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ICYMI, here's the latest developer updates & insights: Lightning Fast AI Hackathon – $10k Prize Pool 2 New Features! @Gradio Partnership More in thread

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Replit agent has been all over Twitter recently They were generous enough to talk in detail about how it was built, including how they used a multi-agent architecture on LangGraph, and how they debug with LangSmith https://
langchain.com/breakoutagents
/replit
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Agents can really make a difference and change how the future of how we work. Patrick used Lutra AI to complete 6 tasks in 17 mins — that would otherwise have taken him 3 hours and 42 minutes, that's 13X faster. If you're looking for an AI that can work with CSVs, clean up