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RT @tkhoury: Exciting to see further improvements to DiLoCo from the Google DeepMind team

RT @tkhoury: Exciting to see further improvements to DiLoCo from the Google DeepMind team

Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne

avatar for Arthur Douillard
Arthur Douillard
Sat Dec 06 22:31:48
RT @msharmavikram: 🚀 Want to become a CUDA ninja?

Start with the new CUDA Programming Guide - Section 4 is your gold mine! 

It’s packed w…

RT @msharmavikram: 🚀 Want to become a CUDA ninja? Start with the new CUDA Programming Guide - Section 4 is your gold mine! It’s packed w…

gpu enjoyer at @modal. he/him. ex @full_stack_dl, @weights_biases (acq. @CoreWeave), phd Berkeley @Redwood_Neuro. try https://t.co/SYWVMCazZ3

avatar for Charles 🎉 Frye @ NeurIPS
Charles 🎉 Frye @ NeurIPS
Sat Dec 06 22:27:26
under-rated economic benefit of self-hosting OSS models: the "lossless" performance improvements are rapidly discovered and disseminated, leaving only "lossy" tricks that have to be validated per workload

not available for multi-tenant APIs -- "give me bf16 or give me death"

under-rated economic benefit of self-hosting OSS models: the "lossless" performance improvements are rapidly discovered and disseminated, leaving only "lossy" tricks that have to be validated per workload not available for multi-tenant APIs -- "give me bf16 or give me death"

gpu enjoyer at @modal. he/him. ex @full_stack_dl, @weights_biases (acq. @CoreWeave), phd Berkeley @Redwood_Neuro. try https://t.co/SYWVMCazZ3

avatar for Charles 🎉 Frye @ NeurIPS
Charles 🎉 Frye @ NeurIPS
Sat Dec 06 22:23:46
RT @NielsRogge: This is another really cool release by @Microsoft 

Try it here: https://t.co/WcExDggJjP

RT @NielsRogge: This is another really cool release by @Microsoft Try it here: https://t.co/WcExDggJjP

AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5XOCi

avatar for AK
AK
Sat Dec 06 22:20:28
Stoica at NeurIPS, on AI for Systems Research: largest advantage of LLMs is ability to transfer knowledge across domains

I've always felt this was an under-rated use case: automatic remixes (not new tracks), paper discovery (not new papers), SDK translation (not generation), etc

Stoica at NeurIPS, on AI for Systems Research: largest advantage of LLMs is ability to transfer knowledge across domains I've always felt this was an under-rated use case: automatic remixes (not new tracks), paper discovery (not new papers), SDK translation (not generation), etc

gpu enjoyer at @modal. he/him. ex @full_stack_dl, @weights_biases (acq. @CoreWeave), phd Berkeley @Redwood_Neuro. try https://t.co/SYWVMCazZ3

avatar for Charles 🎉 Frye @ NeurIPS
Charles 🎉 Frye @ NeurIPS
Sat Dec 06 22:05:16
RT @deviparikh: I had mentioned Humans of AI in the Business Insider article and some of you pinged me about it. It was a side pandemic pro…

RT @deviparikh: I had mentioned Humans of AI in the Business Insider article and some of you pinged me about it. It was a side pandemic pro…

Co-founder & Chief Scientist @yutori_ai. Prev: Senior Director leading FAIR Embodied AI @MetaAI and Professor @GeorgiaTech.

avatar for Dhruv Batra ✈️ NeurIPS
Dhruv Batra ✈️ NeurIPS
Sat Dec 06 22:04:40
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