OpenAI, AGI, LLMs Eval & Applied ML with Reah Miyara #47 Artwork

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Artificial Intelligence, Machine Learning, Data Science and Deep Learning are completely changing the world we live in today. Companies around the world start to make sensible use of big data to influence business decisions and create our future. From video recommendations to autonomous driving, from stock prediction to weather forecasting, the AI revolution is everywhere. The AI stories podcast brings together some of the best Data Scientists, Machine Learning Engineers, Business leaders and researchers that are at the front of this revolution. They are here to talk about their career, how they arrive where they are, give advice and share their vision. They explain how they make use of AI in their daily routine, how they use algorithms to solve business problems and make the world a better place. They are here to share their stories: their AI stories. Hosted by Neil Leiser, Data Scientist at Iwoca. Follow Neil to learn more about career, Data Science, AI and Machine Learning. Linkedin: https://www.linkedin.com/in/leiserneil/ Twitter: https://twitter.com/LeiserNeil

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AI Stories

OpenAI, AGI, LLMs Eval & Applied ML with Reah Miyara #47

May 16, 2024 • Neil Leiser • Season 3 • Episode 13

Our guest today is Reah Miyara. Reah is currently working on LLMs evaluation at OpenAI and previously worked at Google and IBM.

In our conversation, Reah shares his experience working as a product lead for Google's graph-based machine learning portfolio. He then explains how he joined OpenAI and his role there. We finally talk about LLMs evaluation, AGI, LLMs safety and the future of the field.

If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.

Link to Train in Data courses (use the code AISTORIES to get a 10% discount): https://www.trainindata.com/courses?affcode=1218302_5n7kraba

Follow Reah on LinkedIn: https://www.linkedin.com/in/reah/

Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/

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(00:00) - Intro

(03:09) - Getting into AI and Machine Learning

(08:33) - Why Stay in AI?

(11:39) - From Software Engineer to Product Manager

(18:27) - Experience at Google

(25:28) - Applications of Graph ML

(31:10) - Joining OpenAI

(35:15) - LLM Evaluation

(44:30) - The Future of GenAI and LLMs

(55:48) - Safety Metrics for LLMs

(1:00:30) - Career Advice