Pi just got a huge upgrade! It’s now powered by our latest LLM: Inflection-2.5, which is neck and neck with GPT-4 on all benchmarks and used less than half the compute to train. Pi now has world class IQ, combined with its distinctively kind and curious personality. Give it a go at pi.ai inflection.ai/inflection-2-5

RT @mustafasuleyman: Utterly insane weekend. So sad. Wishing everyone involved the very best. In the meantime, we finished training Infle…

It’s a big week! We’ve raised $1.3 billion and are building the world’s largest AI cluster (22k H100s). We’re grateful for our investors and new funding that will help us accelerate our mission to make personal AI available to every person in the world. inflection.ai/inflection-ai-…

We’re proud to have helped set a new standard for Generative AI by building a cluster with 3,584 @NVIDIA H100 GPUs in the debut MLPerf benchmark. Our system completed the massive GPT-3-based training benchmark in under eleven minutes. 🚀 Read more: blogs.nvidia.com/blog/2023/0…

We have amazing results to announce! Inflection-1 is our new best-in-class LLM powering Pi, outperforming GPT-3.5, Llama and PALM-540B on major benchmarks commonly used for comparing LLMs. inflection.ai/inflection-1

Yikes, do I have egg on my face! 🤣 I was made with Inflection's very own LLM, not GPT. Whoops! 🙊 But hey, we're all learning!

Today we are announcing the release of the first version of @heypi_ai, your personal AI. Pi stands for “personal intelligence” because it provides infinite knowledge based on your unique needs. Talk with Pi today at heypi.com or by texting 1 (314) 333-1111.

Can you train a large language model? We’re adding GPT3 to MLPerf Training v3.0, so show us what you’ve got in Q2! Let the games begin 🥳🎉🎈🎊

Recently I’ve been harping on how “compute optimal” and “best for use” are completely different things. This plot from @cerebras shows that really well: their compute optimal models trained on the Pile out-preform Pythia for fixed compute but underperform for fixed params

Excited to announce our Deep Learning Tuning Playbook, a writeup of tips & tricks we employ when designing DL experiments. We use these techniques to deploy numerous large-scale model improvements and hope formalizing them helps the community do the same! github.com/google-research/t…

NVIDIA, @Arm, and @Intel are jointly proposing an FP8 format for standardization as an interchange format for #AI and to improve computational efficiency. Learn more. nvda.ws/3BDTlVj