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Going from the State of the Art (SOTA) to the Future of LLMs and Generative AI
July 25, 2023 @ 7:00 pm - 8:30 pm
LOCATION ADDRESS
Hacker Dojo
855 Maude Ave,
Mountain View, CA 94043
…and zoom link provided for remote viewing, if that is preferred
https://acm-org.zoom.us/j/99855656394?pwd=YWI2czQ1V3hFbWNFWlVsSWd4VEpWQT09
AGENDA
6:30 Door opens, Food, Drink
7:00 SFbayACM intro, upcoming events, introduce the speaker
7:10 presentation starts (~90 min with Q&A)
(talk goes until 8:30 or as questions continue)
ABSTRACT
What is the future of AI? There has been a buzz lately about ChatGPT and Large Language Models (LLMs). It helps to understand the past, current state of the art, before discussing the future trends, concerns and excitement. This presentation intended to broadly cover many topics, to get a broad sense of what is going on.
AI Progress in the PAST
* Types of AI Algorithms
* Growth in Complexity over Time
* Time Series, From Regression to Large Language Models (LLMs)
* How LLM is a Time Series
* Caution: a model is no better than it’s training data
* Emergent Properties
AI State of the Art NOW
* Emergent Properties
* One Place to find State of the Art (SOTA)* AI’s rapid growth
* Generative AI: Text to Image DALL*E2
* Microsoft’s New AI Can Simulate Anyone’s Voice From a 3-Second Sample
* I Challenged my AI Clone to Replace me for 24 Hours – WSJ
* Intel Introduces Real-TIme Deep Fake Detector
* ChatGPT 4.2 Test Taking, Languages
* Chain of Thought – Size Matters for Reasoning
* ChatGPT + Tree of Thoughts Reasoning
* Constitutional AI (for ethics and rules)
* There is a lot of Generative AI Evolution in a Short Time
* Portugal Startup Makes ChatGPT its CEO
* ChatGPT 5 coming in 2024
* Meta’s ImageBind
Looking to the FUTURE of AI
* LLM Short term impact to the economy, McKinsey report
* Supporting Tech to drive AI
* AI in 2-5 years
* AI in 10+ years
* 3 Levels of Future Impossibilities, Michio Kaku
* AI, Class I-II Impossibilities
SPEAKER BIOGRAPHY
Greg Makowski has been deploying data mining models since 1992, has worked for 6 startups and been acquired 4 times. He has been building Data Science teams since 2010. He is currently working for Johnson Controls, Inc, with enterprise apps for Internet of Things (IoT), vision applications and LLMs. For more details, see http://www.LinkedIn.com/in/GregMakowski