Open source AI didn't start with Llama, nor with PyTorch.
MACHINE LEARNING
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Reinforcement Learning for Diffusion Models from Scratch
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Dr. Tanishq Abraham – Reinforcement Learning for Diffusion Models from Scratch https://
bit.ly/3GuPUBM #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Google Gemini Pro Shows Significant Improvements in Understanding and Reasoning
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Internal performance evaluations from Google have shown significant improvements for Gemini Pro over previous Google models in understanding, summarization, reasoning, coding, and planning. This model also excels in cross-modal reasoning. (2/3)
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Latent Variables: Parameters vs State in Gradient Descent
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Okay so the latent variable you infer through gradient descent look like parameters, not like state variables.
But why? -

ML Advances: TpuGraphs Dataset and Graph Segment Training
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Read all about recent advances in using ML to improve efficiency of ML workloads — including TpuGraphs, a performance prediction dataset on large tensor computational graphs, and Graph Segment Training, a novel method to scale graph neural networks →
https://
goo.gle/3RrnQUZ -

Mixtral: The Future of Efficient Language Models
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I think the way Mixtral works is likely the future of language models. It seems more efficient and scalable in my opinion.
— Matt Wolfe (@mreflow) 15 décembre 2023
Here's a quick oversimplification of how it works that I clipped from today's news video (on YouTube): pic.twitter.com/zIZXjxY4fkI think the way Mixtral works is likely the future of language models. It seems more efficient and scalable in my opinion. Here's a quick oversimplification of how it works that I clipped from today's news video (on YouTube):
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Deep Learning Remains Critical to Meta’s Operations
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Deep learning has been vital to Meta's operations for years now.
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Intelligence Defined: The Ability to Adapt to Change
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ConvNet Patents Expired in 2007, Enabling AI Innovation
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ConvNets were patented.
The patents thankfully expired in 2007. -

Hessian Structure Explains Sharpness Regularization Mysteries
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How Hessian Structure Explains Mysteries in Sharpness Regularization https://
bit.ly/472w1ND
#AI #MachineLearning #DeepLearning #LLMs #DataScience