Very excited by our latest work on long-horizon manipulation tasks – Sequential Dexterity 😍👇🦿 https://t.co/71BAs7NpaR
— Fei-Fei Li (@drfeifei) 6 septembre 2023
Very excited by our latest work on long-horizon manipulation tasks – Sequential Dexterity
By
–
Very excited by our latest work on long-horizon manipulation tasks – Sequential Dexterity 😍👇🦿 https://t.co/71BAs7NpaR
— Fei-Fei Li (@drfeifei) 6 septembre 2023
Very excited by our latest work on long-horizon manipulation tasks – Sequential Dexterity

By
–
Want to work on fun and cutting edge AI projects? Best place to do it
By
–
As RAG applications make their way to production, you need to keep vector stores in sync with data sources We introduced some methods to help with this! Mainly logic around which chunks to update/delete/insert

By
–
AI is a Bad Student… Deep Learning and Supervised Learning: What You Need to Know Here is an explanation of deep learning with a simple analogy… Learn more in the video: https://
youtu.be/VEhWgVyRINI #AI #artificialintelligence #machinelearning #deeplearning

By
–
LLM-Reading-List https://
bit.ly/3DKeihw
#AI #MachineLearning #DeepLearning #LLMs #DataScience
By
–
Cerebras welcomes a guest post from Inception CEO Andy Jackson about our recent work together on Jais, the world’s best-performing open-source Arabic model The post details the model architecture, data, hardware, and performance evaluations Read here: https://
cerebras.net/blog/jais-a-ne
w-pinnacle-in-open-arabic-nlp
…

By
–
Good morning fellow AI enthusiast! This week's iteration focuses on Artificial Intelligence and Deep Learning… in general! This is a video I wrote a while back and finally had time to edit (with some help) and release it (in both English and French!). Here is an explanation
By
–
“The history of AI reflects the reality that it is always better to learn a model rather than to hand-engineer it. This is going to be a core philosophy for us @SakanaAILabs
, and we will draw on ideas from nature including evolution to explore this space.”
By
–
Want to hear the latest cutting-edge research out of HAI’s multidisciplinary faculty? Join us for our full-day symposium highlighting the achievements of our Hoffman-Yee grantees: https://
stanford.io/3Pt0q22
By
–
Last week we released FACET, a new comprehensive benchmark dataset for evaluating the fairness of models across a number of different vision tasks, constructed of 32K images from SA-1B, labeled by expert annotators.
— AI at Meta (@AIatMeta) 5 septembre 2023
Read the paper ➡️ https://t.co/OoYV2eiSYX pic.twitter.com/9Q7uk59TvT
Last week we released FACET, a new comprehensive benchmark dataset for evaluating the fairness of models across a number of different vision tasks, constructed of 32K images from SA-1B, labeled by expert annotators. Read the paper https://
bit.ly/3EotZvg