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Accurate KV Cache Quantization with Outlier Tokens Tracing
Manage episode 486845178 series 3448051
Content provided by Arize AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arize AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Join us as we discuss Accurate KV Cache Quantization with Outlier Tokens Tracing, a deep dive into improving the efficiency of LLM inference. The authors enhance KV Cache quantization, a technique for reducing memory and compute costs during inference, by introducing a method to identify and exclude outlier tokens that hurt quantization accuracy, striking a better balance between efficiency and performance.
Paper: https://arxiv.org/abs/2505.10938
Slides: https://bit.ly/45wolpr
Join us for Arize Observe: https://arize.com/observe-2025/
Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.
50 episodes
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Manage episode 486845178 series 3448051
Content provided by Arize AI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arize AI or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Join us as we discuss Accurate KV Cache Quantization with Outlier Tokens Tracing, a deep dive into improving the efficiency of LLM inference. The authors enhance KV Cache quantization, a technique for reducing memory and compute costs during inference, by introducing a method to identify and exclude outlier tokens that hurt quantization accuracy, striking a better balance between efficiency and performance.
Paper: https://arxiv.org/abs/2505.10938
Slides: https://bit.ly/45wolpr
Join us for Arize Observe: https://arize.com/observe-2025/
Learn more about AI observability and evaluation, join the Arize AI Slack community or get the latest on LinkedIn and X.
50 episodes
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Similar to Deep Papers
Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
…
continue reading
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…
continue reading
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…
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…
continue reading
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…
continue reading
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…
continue reading
Whether the topic is popcorn or particle physics, you can count on BrainStuff to explore -- and explain -- the everyday science in the world around us.
…
continue reading
It didn’t all change in March 2020. Not really. The UK high street has been in the throes of a gradual revolution for decades. From the rise of ecommerce, to the birth of mobile, social commerce, and a growing emphasis on experience, change has been underway for a while. In fact for many, the pandemic has acted as a wake-up call. Digital transformation was no longer a ‘nice to have’ but a matter of survival. Necessity sparked innovation and customers are enjoying more flexibility and conveni ...
…
continue reading
Interviews with mathematics education researchers about recent studies. Hosted by Samuel Otten, University of Missouri. www.mathedpodcast.com Produced by Fibre Studios
…
continue reading
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