Curated Transformers is our new library of PyTorch LLM and other transformer implementations — now at v1.0! The library features well-factored implementations of common architectures, including Llama 2, Falcon, BERT and many more. Architectures are implemented from common https://
x.com/spacy_io/statu
/spacy_io/status/1687103018628722688
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OPEN SOURCE
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Curated Transformers Library Reaches v1.0 with PyTorch Implementations
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MusicGen Now Available on Hugging Face
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We're pretty active on Hugging Face, you can already try MusicGen in this space. https://
huggingface.co/spaces/faceboo
k/MusicGen
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Replicate Integration with Vercel AI SDK for Llama 2 Chatbot
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Replicate is now supported by the @vercel AI SDK. `npm ai replicate` Here's how to build your own Llama 2 Chatbot, with streaming: https://
sdk.vercel.ai/docs/guides/pr
oviders/replicate
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AudioCraft: Open-Source Music Generation Model
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Composing music is as nearly hard as drawing/painting a good-looking photo/sketch for most people. We already have open frontier models for generating photo-realistic images but not so many models for music/audio generation.
— Jean de Dieu Nyandwi (@Jeande_d) 3 août 2023
AudioCraft is an open-source tool for generating music… https://t.co/DoNHeg62OrComposing music is as nearly hard as drawing/painting a good-looking photo/sketch for most people. We already have open frontier models for generating photo-realistic images but not so many models for music/audio generation. AudioCraft is an open-source tool for generating music
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Llama 2: Responsible AI Development Guide for Developers
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With Llama 2 we’re continuing to invest in responsible AI efforts, including a new guide to support devs with best practices and considerations for building products powered by large language models in a responsible manner. Download the full guide https://
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Ludwig simplifies distributed computing with Ray backend integration
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Doing this yourself would normally be a fair bit of cumbersome code, but in Ludwig you get it for free just by running with Ray as the backend runtime. Try it out for yourself: https://
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Llama2 7B Model Training Memory Requirements on Multiple GPUs
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Now training your 7B parameter #Llama2 model in float32 with 8 GPUs requires 7 * 4 * 8 = 224 GiB of host memory just to load it onto the GPUs.
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Hugging Face Joins PyTorch Foundation as Premier Member
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Hugging Face is now part of the PyTorch Foundation as a premier member We have been collaborating with the PyTorch team for the past four years and are committed to supporting the project. We share an objective: to lower the barrier of entry to ML. https://
pytorch.org/blog/hugging-f
ace-joins/?hss_channel=tw-776585502606721024
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Open Source as a Solution to AI Challenges
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Can Open Source save AI? – GigaOm https://
bit.ly/3q54Yle
#AI #MachineLearning #DeepLearning #LLMs #DataScience