Not related to the previous feature but it already has a working vision capability and is able to understand image content
MACHINE LEARNING
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Artificial Analysis: LLM API Provider Speed Benchmarking Tool
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Shoutout to the team that built https://
artificialanalysis.ai . Really neat site that benchmarks the speed of different LLM API providers to help developers pick which models to use. This nicely complements the LMSYS Chatbot Arena, Hugging Face open LLM leaderboards and Stanford's HELM -
ACM-SIAM Discrete Algorithms Symposium Submission Deadline Approaching
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Everyone submitting to the ACM-SIAM Symposium on Discrete Algorithms right now #SIAMDA25pic.twitter.com/lSD6paiyz7
— Gautam Kamath (@thegautamkamath) 6 juillet 2024Everyone submitting to the ACM-SIAM Symposium on Discrete Algorithms right now #SIAMDA25
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Neural Networks History: Three Waves of AI Development
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Marvin Minsky killed the first coming of neural networks. Vladimir Vapnik killed the second. Who will kill the third?
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Token embeddings exist in context of all tokens before them
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You think token embeddings just fell out of a tokenut tree? No, they exist in the context of all in which they live and what tokens came before them.
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Are Data Scientists Still Key To Artificial Intelligence?
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Are Data Scientists Still Key To #AI? via @Forbes @rschmelzer https://
forbes.com/sites/ronschme
lzer/2024/07/05/are-data-scientists-still-key-to-ai/?utm_source=dlvr.it&utm_medium=twitter
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Are Data Scientists Still Key To Artificial Intelligence?
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Are Data Scientists Still Key To AI? via @Forbes @rschmelzer https://
forbes.com/sites/ronschme
lzer/2024/07/05/are-data-scientists-still-key-to-ai/?utm_source=dlvr.it&utm_medium=twitter
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First Podcast Feature with Yi Tay and Machine Learning Experts
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I'm back! and super proud to be the first podcast to feature @YiTayML senpai with special shoutouts to @quocleix
, @_jasonwei
, @hwchung27
, @teortaxesTex
! Special interest callouts:
– why encoder-decoder is not actually that different than decoder-only cc @teortaxesTex @eugeneyan -
Neeral Beladia Discusses GenAI Models for Enterprise at Arize:Observe
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Neeral Beladia, ML Engineer at Cohere, will be taking the stage at Arize:Observe as part of the Innovators track. Don’t miss his talk on building GenAI models for enterprise use cases on July 11 at 12pm in San Francisco. Learn more: https://
cohere.com/events/arize-2
024-cohere
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Scalar-based Backpropagation: Foundation for Tensor Derivatives
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“turned out that by only defining the derivatives for scalar values, it was sufficient to generalise to any higher dimensional Tensors. Therefore, I think building backpropagation intuition from the scalar valued perspective is extremely educational” Yep exactly. I think matrix