Technical PMM @dMatrix_AI. I also run a blog called Supervised. Recovering data analyst, math @UNC. Prev: Sr. Data Analyst @Pluralsight, blogger @TechCrunch.
After losing out to PyTorch, Google is quietly moving to roll out a new AI framework internally called JAX. It's expected to become the underpinning of Google's products, fixing some of TensorFlow's biggest pain points that frustrate Googlers internally
Stability AI has confirmed its funding round at a $1B valuation. Some notes from our sources: its cloud bill for Stable Diffusion training etc exceeds $50M and it is looking at a "holding company"-like model.
Yesterday at Build, Microsoft unveiled a suite of tools for developers around deploying AI models. One that might have flown under the radar was a direct integration with the Hugging Face hub right in the middle of its new model catalog
After a few years in analytics/data science, I'm back to journalism. I'm starting today at Insider, covering big data and AI. Excited to cover this industry now that I'm considerably more familiar with how the technology works. My DMs are open—import tips/scoops!
Hugging Face, a popular machine learning startup worth $2B, is now working with Microsoft to drop the barrier to spinning up pre-trained ML models. Gives Microsoft a stronger wedge into DS while increasing availability of 10k+ HF models to ML enthusiasts.
JAX makes it dramatically easier to spread out the work of ML models across multiple chips using Google's XLA. It taps one of Google's biggest internal perks—readily available TPUs at no cost—but has some work to do to improve support for GPUs.