How to reduce memory use in reasoning models? There are 2 effective ways: LightThinker and Multi-Head Latent Attention. But what if combine them both? Explore in our article ??
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Turing Post is everything you need to make smarter decisions about AI. We connect the dots to understand where AI comes from, its current impact on the world, and where it leads us. Or, hopefully, where we are driving it. ?? Bonus for those who have read this far: Sign up now to receive your free AI essential kit with resources to master AI and ML ???? https://www.turingpost.com/subscribe ?? What to expect in your inbox? - Froth on the Daydream: our weekly newsletter giving you a full picture of the ever-evolving AI landscape. We read over 150 newsletters so you don’t have to - ML Series on Wednesdays: Currently, a monumental FMOps series. - Unicorn Chronicle: Exclusive profiles and insights you won't find anywhere else. We have already covered OpenAI, Anthropic, Inflection, Hugging Face, and Cohere. - Foreign AI Affairs: A global perspective on AI as we explore its advancements in China, Russia, Israel, Europe, and beyond. and more is coming!
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https://www.turingpost.com/
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- 科技、信息和媒体
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- 2023
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Had a great talk with Mati Staniszewski, founder of ElevenLabs. What these guys have already shipped –?and what they're working on –?is astonishing! Truly enjoyed how knowledgeable and passionate Mati is about his work. Stay tuned –?the interview will be out soon. (We didn't take any pictures together, so I had to grab a screenshot from the video!)
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I will be moderating two panels at HumanX. Come to say hi and listen to great discussions: *Monday, March 10*: - AI at the frontlines of cyber threat protection Track Stage 3, Level 6 ?·? Security with Arif Janmohamed from Lightspeed and Itai Tevet from Intezer *Tuesday, March 11*: - How smarter platforms are redefining decision-making Center Stage, Level 6 ?·? Center Stage with Nancy Xu from Moonhub ?? and Richard Socher from You.com See you there ??
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Free Massachusetts Institute of Technology course: Introduction to Flow Matching and Diffusion Models ?? Covers all necessary topics, such as: - theory with equations - training flow and diffusion models - real-world applications in image generation, robotics and protein design ?? It provides: - course notes - slides - Youtube videos - 3 labs for hands-on practical experience Link in the comments ??
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SWE-RL from AI at Meta, the first-ever software engineering (SWE) method based on reinforcement learning to tackle real-world engineering tasks. It improves not only SWE reasoning, but also general reasoning skills, achieving the best results among medium-sized LLMs. Let's see how it works ??