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OpenAI, AGI, LLMs Eval & Applied ML with Reah Miyara #47
May 16, 2024
Reah Miyara, an expert in LLMs evaluation at OpenAI with a rich background at Google and IBM, shares his career journey from software engineering to product leadership. He discusses the evolution of AI, focusing on the importance of validating innovations in real-world applications. Reah delves into the complexities of LLM evaluation and the significance of safety metrics in AI models. He emphasizes the vital role of feedback in career growth and offers insights into the future landscape of generative AI and its implications for society.
01:04:21
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Quick takeaways
- Reah Miyara's transition from product management at Google to LLM evaluation at OpenAI highlights the necessity of integrating user-centric approaches with technical expertise in AI development.
- The podcast emphasizes the critical role of safety metrics in LLM evaluation to ensure responsible use of AI technology and its potential to solve complex societal problems.
Deep dives
Journey into AI and Product Management
The guest's journey into artificial intelligence began at the University of California, Berkeley, where they started a club focused on building drones. This experience sparked an interest in AI, particularly how algorithms can emulate human decision-making. Their first internship at NASA's Jet Propulsion Laboratory deepened this interest, as they contributed to software for the Mars rover. Ultimately, this passion for problem-solving led them to transition from software engineering at IBM to a product management role, underscoring the blend of technical knowledge and user-centric thinking in product development.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode