Check out Koala 🐨: a new chatbot from BAIR researchers fine-tuned on dialogue that approaches ChatGPT quality!
Work led by @haoliuhl @Eric_Wallace_ @ArnavGudibande and Xinyang Geng
Blog: bair.berkeley.edu/blog/2023/04/0…
Demo: koala.lmsys.org
Berkeley AI Research
1,481 posts
We're graduate students, postdocs, faculty and scientists at the cutting edge of artificial intelligence research.
- Announcing the BAIR Open Research Commons @berkeley_ai @UCBerkeley to accelerate cutting-edge collaborative AI research with founding sponsors @amazon, @facebook, @Google, @Samsung, and @wavecomputing!
- BAIR is launching a Research Experience for Undergraduates (REU) this summer, aiming to work with exceptional students from HBCUs and PBIs on cutting-edge AI research and to foster discussions on career pathways in AI. See details & eligibility criteria at bair.berkeley.edu/reu
- When and why can feed-forward networks replace recurrent neural networks without a loss in performance? Find out the answer by reading the new BAIR blog!
- #TransferLearning is crucial for general #AI, and understanding what transfers to what is crucial for #TransferLearning. Taskonomy (#CVPR18 oral) is one step towards understanding transferability among #perception tasks. Live demo and more: taskonomy.vision
GIF - Blog post:"Learning Diverse Skills via Maximum Entropy Deep Reinforcement Learning" by Haoran Tang & Tuomas Haarnoja
- Read about a new large-scale driving dataset, BDD100K, on the BAIR blog!
- Looking to hire top AI talent? We've compiled a list of the brilliant @berkeley_ai Ph.D. Graduates of 2024 who are currently on the academic and industry job markets. (Thanks to our friends @StanfordAILab for the idea!) Check it out here:
- Read BAIR faculty member Michael Jordan's perspective on the current state of AI!
- Congratulations to former @berkeley_ai PhD students and @Stanford faculty members @DorsaSadigh and @chelseabfinn on being awarded the @ieeeras Early Academic Career Award in Robotics and Automation at #ICRA2022!! ieee-ras.org/about-ras/late…
- Sample-efficient multitask deep RL, on real robots, directly from pixels! The key is to enable agents to set their own goals and autonomously practice reaching them. Read more on the new BAIR blog post by @Vitchyr & Ashvin Nair!
- Meta-learning can enable a robot to imitate a vision-based skill from a single human demonstration! New BAIR blog post from Tianhe Yu and @chelseabfinn on "One-Shot Imitation from Watching Videos" bair.berkeley.edu/blog/2018/06/2…




