Glad to announce that we will have a fresh NEW Tutorial on Explainable #AI covering theory, motivation, industrial applications, coding and engineering practices @RealAAAI#aaai2023#aaai23 (with @PMinervini@rikdrive8s Fosca Gian…https://t.co/UkNkM3i0H7 https://t.co/Q52g4574Bu
We have an exciting 2023 #AI internship program in Edinburgh: https://t.co/ZCkexwZLp8, London: https://t.co/kAw5PXKeMw, and New York: #ML#XAI#internship https://t.co/0dtNiE8pm1
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…https://t.co/6LAkrcsU5S https://t.co/v6sKsvIWyy
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 🧵
https://t.co/nzv7pek0iq
🧨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
https://t.co/BEboa1yQyE
🌸 BLOOM is here, available and accessible for everyone. 🤗🤝
Get yourself a https://t.co/WeI5mRwhAq account and try it yourself:
👉 https://t.co/AlagxXRJjA
At a glance :
🔢 176 billion parameter
🌍 59 languages
🔓 Open-Access
or read more about
👉https://t.co/faEW3nGbBU
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.
Happy to announce that there will be a workshop on Neuro Causal & Symbolic AI (nCSI) at @NeurIPSConf!
More information soon.
🖥️ https://t.co/arZJJZBYtI
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
https://t.co/t5EOx3IdQa
https://t.co/utnk0nqu83
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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https://t.co/Canlet6APg
Wohoo, PyTorch 1.12 is out! Detailed release notes here: https://t.co/btpSpjsfCf.
Interesting (personal top 3) highlights
1) Updated DataPipes -- now with fully working shuffling and sharding (what are DataPipes? See my recent blogpost here: https://t.co/wnHQM2Itz8)
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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: https://t.co/ObrAN6rBVE 1/4