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/ekmv6WFElnkd.in/eq4UJhBD
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.
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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, @huggingface, DeBERTa, ConvNeXt, @Gradio & other goodies 🧵
course.fast.ai/
🧨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/diffu…
Excited and honored to share that our #ICML2022 paper, “Causal Conceptions of Fairness and their Consequences” (w/ @jgaeb1, Ravi Shroff, and @5harad) has received an outstanding paper award!!! See 🧵for key findings and results
Paper: arxiv.org/abs/2207.05302 1/17
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.
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/2207.02696github.com/WongKinYiu/yolov7…
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
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 🧵
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openai.com/blog/vpt/
Wohoo, PyTorch 1.12 is out! Detailed release notes here: github.com/pytorch/pytorch/r….
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/20…)
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The meeting has been a few years in the making, but it was worth it! Thanks @lexfridman for the fascinating conversation - and the game of chess :) - it was a lot of fun!
“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