Are GFlowNets the future of AI?

Should you care about GFlowNets? What are they anyway? Learn about how GFlowNets are aiding drug discovery and reasoning in large language models! **Like, subscribe, and share if you find this video valuable!** Tutorial: https://milayb.notion.site/The-GFlowNet-Tutorial-95434ef0e2d94c24aab90e69b30be9b3 0:00 - Why care about GFlowNets? 0:54 - The problems GFlowNets solve 1:39 - A concrete example: drug discovery 3:53 - What GFlowNet really is 4:46 - Applications: GFlowNet-EM 5:58 - Applications: Better LLM reasoning 6:55 - Conclusion Papers mentioned: - GFlowNet for drug discovery (first GFlowNet paper) https://arxiv.org/abs/2106.04399 - Jointly training a GFlowNet and an energy-based model https://arxiv.org/abs/2202.01361 - GFlowNet-EM https://arxiv.org/abs/2302.06576 - GFlowNet for better reasoning in LLMs https://arxiv.org/pdf/2310.04363.pdf Follow me on Twitter: https://twitter.com/edwardjhu 🙏 This video would not be possible without my wonderful labmates at Mila and, of course, Yoshua.