LLMs as a Service, Cohere for AI Research Vision, and Trustworthy AI — Interview with Sara Hooker скачать в хорошем качестве

LLMs as a Service, Cohere for AI Research Vision, and Trustworthy AI — Interview with Sara Hooker

Sara Hooker leads Cohere for AI, a non-profit research lab to solve complex Machine Learning problems. Sara has previously worked as a research scientist at Google Brain focusing on going beyond test-set accuracy to evaluate models that need to fulfill multiple desired criteria such as interpretability, fairness or robustness. In the interview, we dive into the nature of Cohere For AI, her famous paper "The Hardware Lottery", challenges in building and deploying trustworthy AI...👇 📚 Related resources: Cohere For AI: https://cohere.for.ai Hardware Lottery Paper: https://arxiv.org/abs/2009.06489 Sara Hooker homepage: http://www.sarahooker.me Learn more about Zeta Alpha: https://www.zeta-alpha.com ⏱ Timestamps: 00:00 Intro 00:48 Sara's professional journey 05:00 Research topics at Cohere For AI 06:50 The hardware lottery and Transformers 07:30 Large Language Models as a service, what's the future? 12:39 Multimodal Foundation Models 14:49 On Deep Learning Efficiency 20:04 Trustworthy AI main challenges 23:54 Minimizing harm from publicly released powerful models 27:21 How do you keep up with research at Cohere For AI? Specialists vs. Generalists