Exploring the Promise of Generative Models in Chemistry: An Introduction to Diffusion Models https://
bit.ly/3Yt08es #AI #MachineLearning #DeepLearning #LLMs #DataScience
MACHINE LEARNING
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Generative Models and Diffusion Models in Chemistry
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CHITA: Scalable Neural Network Pruning Optimization Method
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Introducing CHITA, an optimization-based approach for pruning pre-trained neural networks at scale. Learn how it leverages advances from several fields and outperforms state-of-the-art pruning methods in terms of scalability and performance tradeoffs → https://t.co/Efokrj0y6W pic.twitter.com/4Eu7LKYzmJ
— Google AI (@GoogleAI) 17 août 2023Introducing CHITA, an optimization-based approach for pruning pre-trained neural networks at scale. Learn how it leverages advances from several fields and outperforms state-of-the-art pruning methods in terms of scalability and performance tradeoffs → https://
goo.gle/3E12kAc -
Dolly 15k Support Merged for NeurIPS LLM Efficiency Challenge
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If you are working on the NeurIPS LLM Efficiency Challenge, Dolly 15k support is now merged: https://
github.com/Lightning-AI/l
it-gpt/pull/430
… python scripts/prepare_dolly.py
python finetune/lora.py –data_dir data/dolly/ -
Balancing Long-Term Vision with Near-Term Action in Data Strategy
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Balancing long-term vision with near-term action with Vercel’s VP of Data https://
spoti.fi/3OsxsgH #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Transformer Pioneer Launches Adaptable AI Models Research Lab
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A Godfather of Transformers Launches Lab Developing More Adaptable AI Models @theinformation https://
theinformation.com/articles/a-god
father-of-transformers-launches-lab-developing-more-adaptable-ai-models-databricks-and-openai-in-dealmaking-mode
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Platypus: Open-Source LLM Achieves Top Leaderboard Performance
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Platypus, a new open-source LLM at the top of the leaderboard: https://
arxiv.org/abs/2308.07317 Key points are
1) a curated dataset: removing similar & duplicate questions
2) finetuning and merging Low Rank Approximation (LoRA) modules: focusing on the non-attention modules -
ETH Zürich DLSC Course Introduction and Deep Learning
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ETH Zürich DLSC: Course Introduction https://
bit.ly/47oy2F1 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Neural Operators for Multi-Scale Science and Engineering
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My talk on neural operators for science and engineering at the U.S. National Congress on Computational Mechanics. We have made exciting progress in applying neural operators to challenging multi-scale problems like weather forecasting, nuclear fusion
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Design Principles for Lifelong Learning AI Accelerators
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Uncovering Design Principles for Lifelong Learning AI Accelerators by Kudithipudi, Daram, Zyarah, Zohora, Aimone, Yanguas-Gil, Soures, Neftci, Lomonaco, Thiem, Epstein + @tenstorrent VP of AI Matthew Mattina. Read the full paper here –> https://
tenstorrent.com/research/uncov
ering-design-principles-for-lifelong-learning-ai-accelerators/
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ImageBind: Meta AI’s Multimodal Learning Across Six Modalities
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ImageBind by Meta AI is capable of binding information from six modalities. It equips machines with a holistic understanding that connects objects in photos with how they will sound, their 3D shape, temperature & how they move.
— AI at Meta (@AIatMeta) 16 août 2023
More on this research ➡️ https://t.co/yzoIrLRu2p pic.twitter.com/nHOxevSA51ImageBind by Meta AI is capable of binding information from six modalities. It equips machines with a holistic understanding that connects objects in photos with how they will sound, their 3D shape, temperature & how they move. More on this research https://
bit.ly/46hAJaY