Assistant Prof. Jeannette Bohg studies the intersection of robotics, machine learning, and computer vision. She recently led the TidyBot project, which created a household robot that learns your organization preferences. @leto__jean 8/n https://
web.stanford.edu/~bohg/
MACHINE LEARNING
-
Stanford Professor Develops Learning Household Robot TidyBot
By
–
-
Liverpool and DeepMind: ‘Tactic AI’ revolutionizes corners
By
–
La manière dont depuis des années le club de Liverpool travail avec DeepMind c'est une dinguerie.
— Defend Intelligence (Anis Ayari) (@DFintelligence) 19 mars 2024
Ils ont développé un model "Tactic AI" pour prédire ce qui va se passer sur des corners et ainsi pouvoir donner des indications aux coachs et aux joueurs. https://t.co/mvd9xhZbIZThe way Liverpool Football Club has been working with DeepMind for years is insane. They have developed a model called 'Tactic AI' to predict what will happen during corners, thus providing guidance to coaches and players.
-
Free PDF: Information Theory, Inference, and Learning Algorithms
By
–
View this 640-page PDF (no printing) — Information Theory, Inference, and Learning #Algorithms — https://
academia.edu/109018948/Davi
d_MacKay_Information_Theory_Inference_and_Learning_Algorithms?email_work_card=view-paper
…
————
#DataScience #MachineLearning #Mathematics #Statistics #Probability #NeuralNetworks #DeepLearning -
DataRobot Powers Generative AI with NVIDIA Inference Microservices
By
–
DataRobot is at your microservice! @nvidia highlights DataRobot as a leading provider in #ML and #AI operations, supporting fully-configured generative AI models with NVIDIA Inference Microservices (NIM) to accelerate your path to production-ready AI solutions. Join us
-
Personalize Stable Diffusion Models with DreamBooth and Diffusers
By
–
🚀 Blog-tastic Tuesdays 🚀https://t.co/EwjdNEOCul
— Satya Mallick (@LearnOpenCV) 19 mars 2024
Personalization of Stable Diffusion models is one of the greatest benefits of Generative AI. In our latest article, we use Dreambooth to personalize Stable Diffusion with the Hugging Face Diffusers library.#ai #computervision… pic.twitter.com/uUAqy7USmdBlog-tastic Tuesdays https://
learnopencv.com/dreambooth-usi
ng-diffusers/
… Personalization of Stable Diffusion models is one of the greatest benefits of Generative AI. In our latest article, we use Dreambooth to personalize Stable Diffusion with the Hugging Face Diffusers library. #ai #computervision -
Yi Language Model: Full-Stack Development and Key Insights
By
–
Final Thoughts: (5/6) In this report, we discuss the full-stack development of the Yi language model family. Key takeaways highlight the importance of data quantity and quality, along with our unique finetuning procedure outlined in the paper.
-
Dynamic Resource Allocation for Yi Model Upscaling from 6B to 9B
By
–
Depth Upscaling: (4/6) Scaling laws pose significant challenge in resource allocation. Discover our novel approach to dynamically adjust resource allocation, leading to the upscaling of Yi-6B base model to the Yi-9B base model with enhanced training efficiency & performance.
-
Yi Vision Language Models: Architecture and Three-Stage Training Process
By
–
Visional Language: (3/6) Earlier this year, we launched the Yi Vision Language models (Yi-VL-34B, Yi-VL-6B) with bilingual multimodal understanding and generation capabilities. Check out the architecture of the Yi-VL models and our three-stage training process.
-
Yi Model Series Extended to 200K Long-Context Capability
By
–
Long Context: (2/6) The long-context capability offered by the Yi model series (Yi-34B-200K and Yi-6B-200K) has gained immense traction from the community. Learn how we extended the Yi base model to 200K long-context through various methods outlined in the paper.
-
Yi: Open Foundation Models – New Extensions and Capabilities
By
–
“Yi: Open Foundation Models” by http://
01.AI has arrived. Take a look into the specifics with us and discover the groundbreaking extensions of our Yi model series – which include long context, vision language, depth upscaling, and more. (1/6）