Join us as we delve into the transformative realm of prompt engineering, a crucial aspect of enhancing the potential of large language models (LLMs). This episode explores foundational concepts, such as simple question prompts, and advances to techniques like Chain-of-Thought and Tree-of-Thought prompting. We’ll also discuss the limitations of LLMs, such as their tendency to fabricate information and lack of real-time updates, while showcasing strategies to mitigate these issues. Whether you're a beginner or looking to refine your AI expertise, this episode covers how prompt design shapes the output of models like GPT-4, and the sophisticated tools and frameworks aiding prompt engineers today. Original research by Xavier Amatriain. For the full article and references, visit https://arxiv.org/abs/2401.14423
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
Eric Larsen on the emergence and potential of AI in healthcare
10 Dec 2025
McKinsey on Healthcare
Reducing Burnout and Boosting Revenue in ASCs
10 Dec 2025
Becker’s Healthcare -- Spine and Orthopedic Podcast
Dr. Erich G. Anderer, Chief of the Division of Neurosurgery and Surgical Director of Perioperative Services at NYU Langone Hospital–Brooklyn
09 Dec 2025
Becker’s Healthcare -- Spine and Orthopedic Podcast
Dr. Nolan Wessell, Assistant Professor and Well-being Co-Director, Department of Orthopedic Surgery, Division of Spine Surgery, University of Colorado School of Medicine
08 Dec 2025
Becker’s Healthcare -- Spine and Orthopedic Podcast
NPR News: 12-08-2025 2AM EST
08 Dec 2025
NPR News Now
NPR News: 12-08-2025 1AM EST
08 Dec 2025
NPR News Now