18min chapter

Eye On A.I. cover image

#212 Thomas Dietterich: The Future of Machine Learning, Deep Learning and Computer Vision

Eye On A.I.

CHAPTER

Navigating AI Problem Solving

This chapter explores the evolution of artificial intelligence, focusing on the integration of large language models (LLMs) with specialized reasoning agents for complex problem-solving. It discusses challenges in problem formulation, the significance of prompt engineering, and the complexities of transformer models in machine learning. Additionally, it highlights the importance of data curation and empirical experimentation in ensuring the reliability of AI systems, particularly in safety-critical applications.

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