How the US hacked ISIS What is the name of your pet? 1-2-5-7
Bio: Alborz Geramifard is a research science director at Meta working on reinforcement learning (RL). Previously he led the Conversational AI at Meta where the team brought the end-to-end approach for dialog management using LLMs into product (https://ai.facebook.com/blog/project-cairaoke/). Prior to joining Facebook, he led the conversational AI team at Amazon Alexa and created more than a dozen of NLU models shipped into production. He obtained his PhD from MIT and MSc from University of Alberta, both in RL. Alborz was the recipient of the NSERC scholarships 2010-2012. He has contributed to the community in various roles including the guest editor for Machine Learning Journal and AI Magazine and Area Chair for EMNLP, NAACL and ACL.
Abstract: Meta's mission is to empower people to build community and bring the world closer together through artificial intelligence. As part of this mission, Meta believes that augmented reality and metaverse will be the future platform for connectivity for which conversation and interactional AI systems are going to be a critical component. Even today, millions of people use natural-language interfaces via in-home devices, phones, or messaging channels such as Messenger to connect with each other. We strive to create new interactional technologies that have a deep understanding of the context and deliver a personalized experience to the user that is both task-oriented and empathic. Moreover, users are in charge of driving the interaction rather than following a predefined interaction flow. The next generation of interactional AI systems will be multi-modal and pro-active, integrating cues across several modalities to provide creative and on-spot response to the users through augmented reality enabled devices.
For each of the following, do you want the quantity to be high, low, or in a range?
The other day, I came across the phrase "Goldilocks Economy" which refers to a sweet spot where inflation and unemployment are neither too high nor too low. Bingo! I then realized that more generally, the term for this phenomenon is equilibrium - which is better than range. OK?
See GBDMgoals.html Chapter 3: Goals.