NeurIPS 2024: Impossible GenAI Questions With Tristan Engst скачать в хорошем качестве

NeurIPS 2024: Impossible GenAI Questions With Tristan Engst

What happens when AI researchers ask each other the toughest, most mind-bending questions they can think of? In this NeurIPS 2024 series, researchers attempt to answer the unanswerable. In this video, Tristan Engst, PhD Student at the Simon Fraser University, takes his turn. Questions: 00:23 Does the future of AI hinge more on better datasets or better architectures? If you could only improve one, which would have the greatest impact, in your opinion? 00:52 What combination of existing tech pand new developments will it takeus to run billion-parameter architectures on edge devices? 01:05 In your opinion, what should GPU-rich companies do to make research more accessible to GPU-poor labs (assuming that it is their goal)? 01:49 What's the best way to train a foundation model for sequential decision-making? How can we gather and use massive amounts of data to train it? Follow us & stay updated: ► Vist our website: https://buff.ly/NxcmKGi ► Follow us on Linkedin:   / neptuneai   ► Follow us on Twitter:   / neptune_ai   ► Check our Github: https://github.com/neptune-ai Connect with Tristan on Linkedin:   / tristan-engst   #genai #generativeai #llm #llms #neurips