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AI debugging at Meta with HawkEye

Engineering at Meta

HawkEye is the powerful toolkit used internally at Meta for monitoring, observability, and debuggability of the end-to-end machine learning (ML) workflow that powers ML-based products. HawkEye supports recommendation and ranking models across several products at Meta. HawkEye’s components.

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How Meta is creating custom silicon for AI

Engineering at Meta

With the recent launches of MTIA v1 , Meta’s first-generation AI inference accelerator, and Llama 2 , the next generation of Meta’s publicly available large language model, it’s clear that Meta is focused on advancing AI for a more connected world. Tell us about your role at Meta.

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DINOv2: Self-Supervised Computer Vision Models by Meta AI

KDnuggets

Unleashing the Potential of Computer Vision with DINOv2: A Groundbreaking Self-Supervised Model by Meta AI.

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Meta introduces its first-generation AI inference accelerator

Engineering at Meta

The post Meta introduces its first-generation AI inference accelerator appeared first on Engineering at Meta.

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Data News — Week 24.16

Christophe Blefari

AI News 🤖 When do models get the same hype as 2007 iPhone release? Meta releases Llama 3 — After last week Mistral new models , this week ends with the new Meta open-source models. This blog shows how you can use Gen AI to evaluate inputs like translations with added reasons. I did not get the memo.

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Data News — Week 24.02

Christophe Blefari

AI News 🤖 Bill Gates talks with Sam Altman — An 30 minutes episode of Bill Gates' podcast where he chats with Sam Altman. 14 predictions about AI — In a long form article, Vincent shares his predictions about AI and the trends we might see in 2024. Fixit, MotherDuck SQL AI error fixer.

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Data News — Week 24.03

Christophe Blefari

AI News 🤖 OpenAI opened an Elections Program Manager — The role is to support the "efforts around elections security and integrity for the EMEA region" We have this year the European parliament election. But luckily for us Meta will open-source everything they do because they love us so much <3.

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