OMG I'M SO HAPPY IT'S FINALLY HERE!!!

“Evolution through Large Models” – new paper from our team at OpenAI. Step towards evolutionary algos that continually invent and improve at inventing: Large models can suggest (+ improve at making) meaningful mutations to code. Paper: arxiv.org/abs/2206.08896 1/4

There's a nice Google AI blog post today by members of the #Imagen and #Parti teams comparing the two approaches. blog.google/technology/res…

The meeting has been a few years in the making, but it was worth it! Thanks Lex Fridman for the fascinating conversation - and the game of chess :) - it was a lot of fun!

Statistics and mathematics are the backbones of data science and machine learning Key statistical techniques 👇

Video2StyleGAN: Encoding Video in Latent Space for Manipulation abs: arxiv.org/abs/2206.13078

Wohoo, PyTorch 1.12 is out! Detailed release notes here: github.com/pytorch/pytorc…. Interesting (personal top 3) highlights 1) Updated DataPipes -- now with fully working shuffling and sharding (what are DataPipes? See my recent blogpost here: sebastianraschka.com/blog/2022/data…) [1/3]

The OpenAI Minecraft paper is a great push to getting AI to work in Photoshop, Figma, or any software product — using just the keyboard & mouse, like a person would. Steps in the paper, explained 🧵 1/ openai.com/blog/vpt/

I generated this set of icons in 3D style using DALL-E 2 by OpenAI. 🤖 (or, did an AI generate this set of icons using text prompts by Charlota?🤔) #dalle2

Official YOLOv7 (state-of-the-art real-time detector) is more accurate and faster than: - YOLOv5 by 120% FPS - YOLOX by 180% FPS - Dual-Swin-T by 1200% FPS - ConvNext by 550% FPS - SWIN-L CM-RCNN by 500% FPS - PPYOLOE-X by 150% FPS arxiv.org/abs/2207.02696 github.com/WongKinYiu/yol…

Happy to announce that there will be a workshop on Neuro Causal & Symbolic AI (nCSI) at NeurIPS Conference! More information soon. 🖥️ ncsi.cause-lab.net

A massive endeavour, hundreds of researchers, more than one year of hard work. From the community, for the community: BLOOM is here! 🌸 176B parameters, 59 languages, open access.

🌸 BLOOM is here, available and accessible for everyone. 🤗🤝 Get yourself a huggingface.co account and try it yourself: 👉 huggingface.co/bigscience/blo… At a glance : 🔢 176 billion parameter 🌍 59 languages 🔓 Open-Access or read more about 👉bigscience.huggingface.co/blog/bloom

Congrats Hamed Nilforoshan, @jgaeb1, Ravi and @5harad on winning an outstanding paper award at ICML! #icml2022

🧨Diffusion models have been powering impressive ML apps, enabling DALL-E or Imagen Introducing 🤗 diffusers: a modular toolbox for diffusion techniques, with a focus on: 🚄Inference pipelines ⏰Schedulers 🏭Models 📃Training examples github.com/huggingface/di…

After 2 years, Practical Deep Learning for Coders v5 is finally ready! 🎊 This is a from-scratch rewrite of our most popular course. It has a focus on interactive explorations, & covers PyTorch, Hugging Face, DeBERTa, ConvNeXt, Gradio & other goodies 🧵 course.fast.ai

A very good paper I came across this morning by the @DeepMind researchers. For the past five years Transformers have been one of the most dominant approaches to Deep Learning problems, especially in the #NLP domain. 1/5

I’m happy to share that I am joining the AI leadership team at J.P. Morgan as AI Research (Executive) Director! #Hiring #AI talents in #UK and #USA - Feel free to message me directly. Available positions: but much more in the A…lnkd.in/ekmv6WFE lnkd.in/eq4UJhBD

We have an exciting 2023 #AI internship program in Edinburgh: lnkd.in/e6bUCHqC, London: lnkd.in/ePsrNy9H, and New York: #ML #XAI #internship lnkd.in/e2Vy-BuH

Glad to announce that we will have a fresh NEW Tutorial on Explainable #AI covering theory, motivation, industrial applications, coding and engineering practices AAAI #aaai2023 #aaai23  (with Pasquale Minervini Riccardo Guidotti Fosca Gian…lnkd.in/eMXy-R3F lnkd.in/evpg8ATr