Mike Milanov of @TeamLiquid reveals how they use #analytics to train their athletes who compete for millions of dollars. Join us on @SAP BTP #BetterTogetherStories as we discuss the intersection of #esports and digital innovation. https://
bit.ly/3AMqhe0 #DigitalTransformation
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Analytics in Esports: Team Liquid’s Digital Training Innovation
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Google Showcases AI Research Projects at CVPR2023 Conference
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Attending #CVPR2023 this year? Stop by the Google booth where you can chat with researchers, attend a demo or Q&A session, and learn about some of the many projects our researchers are presenting throughout the conference. https://
goo.gle/3CCxbSU -
ANITI publishes a position paper on generative AI systems
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@ANITI_Toulouse publishes a position paper on generative AI systems https://actuia.com/actualite/aniti-publie-un-position-paper-sur-les-systemes-dia-generative/
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Human alignment challenges with AGI development
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If you believe in AGI then I don’t see how you can believe that anything you do as a meer human will align it.
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Why AI Must Thrive: Our World Needs It
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Why AI Must Thrive: Our World Needs It
#AI #AIio #BigData #ML #NLU #Futureofwork @oluskayacan @richardkimphd @MariaFariello @johnpearcenews5 @ResurgentAV @rohanmuralee @globaliqx http://
ow.ly/hZaC30svHTC -
Team Adds Encodec Model in Record Time
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Massive kudos to @mhollemans
, @art_zucker and patrickvonplaten for sprinting and adding this model in record time Special thanks to @honualx for all his help and support! ref: https://
github.com/facebookresear
ch/encodec
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EnCodec Model Now Available in Transformers Library
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Want to train your own Bark/MusicGen-like TTS/TTA models? 👀
— Vaibhav (VB) Srivastav (@reach_vb) 20 juin 2023
The SoTA Encodec model by @MetaAI has now landed in 🤗Transformers!
It supports compression up to 1.5KHz and produces discrete audio representations. ⚡️
Model: https://t.co/Hq8rDHBfjw
Colab: https://t.co/MaWVEAMCXs pic.twitter.com/tDpPAdlYHUWant to train your own Bark/MusicGen-like TTS/TTA models? The SoTA Encodec model by @MetaAI has now landed in Transformers! It supports compression up to 1.5KHz and produces discrete audio representations. Model: https://
huggingface.co/docs/transform
ers/main/en/model_doc/encodec#overview
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Colab: https://
github.com/Vaibhavs10/not
ebooks/blob/main/use_encodec_w_transformers.ipynb
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Transformers Integration Enables Large-Scale Text-to-Speech Music Models
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Okay, but why is it a big deal!? Transformers integration allows us to use any LM and dataset from the ecosystem seamlessly to train Text-to-Speech and Text-to-Music models at scale! More exciting announcements on this front soon! https://
github.com/Vaibhavs10/not
ebooks/blob/main/use_encodec_w_transformers.ipynb
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Document Comparison with LangChain Agents and Retrieval
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Document Comparison There are lots of ways to ask questions about a single document, but what about when you want to compare multiple? @pelaseyed added a great cookbook showing how to do that. Uses an agent and multiple retrieval qa chains! Docs: https://
python.langchain.com/docs/modules/a
gents/toolkits/document_comparison_toolkit
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Infinigen: Procedural Generation for Photorealistic 3D Worlds
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Infinite Photorealistic Worlds using Procedural Generation
— AK (@_akhaliq) 20 juin 2023
paper page: https://t.co/HiSl313uEN
introduce Infinigen, a procedural generator of photorealistic 3D scenes of the natural world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from… pic.twitter.com/K1iGHwRahtInfinite Photorealistic Worlds using Procedural Generation paper page: https://
huggingface.co/papers/2306.09
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… introduce Infinigen, a procedural generator of photorealistic 3D scenes of the natural world. Infinigen is entirely procedural: every asset, from shape to texture, is generated from