@UntetherAI has joined @MLCommons to accelerate #ML innovation! We are thrilled to collaborate and contribute to their renowned MLPerf benchmarks in our commitment to providing high-performance, energy-efficient #AI inference acceleration. Press Release: https://
tinyurl.com/4yswn2n7
RESEARCH
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UntetherAI Joins MLCommons to Accelerate ML Innovation
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Real-time performance challenges in multi-thousand GPU clusters
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Is anyone doing real time work on the multi-thousand GPU clusters that are popping up? It should be possible with the right software, but I generally see step times measured in seconds rather than milliseconds.
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GPT Demonstrates Strong Performance in Feed Ranking Systems
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GPT is Rather Good at Feed Ranking https://
bit.ly/3MznMBO #MachineLearning #AI #DataScience #DeepLearning -
Open Source AI Models Enabling New Development Workflows
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In that future, that's a workflow it actually has a shot at owning! And as OSS models continue to improve—particularly with the open sourcing of Falcon 40B last week—there will be much more development happening on top of those models rather than building from scratch.
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Trending AI News Stories and Papers
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Trending AI news stories + papers https://
open.substack.com/pub/akhaliq/p/
trending-ai-news-stories-papers-5d4
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Apple’s AI Strategy: Speculation on Model Development Plans
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Okay! Today's issue of Supervised is about over-speculating on Apple's AI plans, as is the time-honored tradition with all Apple launches and product releases. For this we're looking specifically at what type of model development Apple wants to own.
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Meta’s MTIA AI Inference Accelerator: Key Problems Solved
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3️⃣ Important problems that MTIA, our first-generation AI inference accelerator solves. A closer look from Mahesh Maddury, Roman Levenstein & Linda Cheng; part of the team behind this work.
— AI at Meta (@AIatMeta) 6 juin 2023
Details on Meta Training and Inference Accelerators ➡️ https://t.co/9A4I1iwNGp pic.twitter.com/aQmJ4wqwN4Important problems that MTIA, our first-generation AI inference accelerator solves. A closer look from Mahesh Maddury, Roman Levenstein & Linda Cheng; part of the team behind this work. Details on Meta Training and Inference Accelerators https://
bit.ly/42sAnv9 -

Quantum Technology Implementation Requires Significant Time Investment
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Achieving successful implementation of quantum technology demands a significant investment of time from companies to foster the development of both skills and cutting-edge technological capabilities. Source @Capgemini Link https://
bit.ly/429ar7r via @antgrasso #QuantumComputing -

Cerebras Leads AI Hardware Startups with Research Citations
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Cerebras is now the leading AI hardware startup as measured by research paper citations! Cerebras-GPT is just the start – we have so much cool research that we can't wait to share with you all. Stay tuned!
h/t: @nathanbenaich -
OpenAI Hiring Researchers and Engineers for Language Model Evaluation
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Our team at OpenAI is hiring researchers/engineers to work on evaluating language models! Come work with us, DM's are open 🙂