In this deep-dive episode, Yugen sits down with Amnon Lotenberg - AI expert and NLP veteran - for a fascinating conversation on the real-world power and complexity of large language models (LLMs).

With decades of experience at the intersection of data science, product, and engineering, Amnon unpacks how LLMs are transforming the speed and scale of software development. Together, they explore the art and science of prompt engineering, the changing role of traditional machine learning, and how AI is reshaping not just industries - but careers.

This isn’t just a tech talk. It’s a reflection on responsibility, precision, and the evolving mindset required to harness AI tools effectively in the real world.

💡 Key Takeaways:

• Amnon Lotenberg’s journey through the evolution of AI and NLP.

• Why LLMs are accelerating application development like never before.

• The underestimated power of prompt engineering.

• Knowing when not to use LLMs: the importance of simplicity.

• The ongoing mystery behind how LLMs truly work.

• Navigating unintended consequences of AI tools.

• The shift in engineering roles in an AI-first world.

• The enduring relevance of traditional machine learning.

• How AI is transforming the job market across industries.

• Why lifelong learning is essential for anyone working with AI.
  

A must-listen for engineers, innovators, and anyone curious about where AI is headed-and how to stay ahead of the curve.

Chapters:

00:00 Introduction to AI and Amnon Luttenberg

03:10 Navigating the Buzz of LLMs

10:10 Real-World Applications of LLMs

16:14 Challenges in Implementing LLMs

21:01 Understanding LLMs: The Science Behind

25:00 The Role of Engineers in AI

32:12 Prompt Engineering Techniques

37:10 Relevance of Traditional ML Techniques

44:11 AI and the Future of Jobs

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