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22min chapter
Prompting the future (Practical AI #261)
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Navigating the Landscape of Prompt Engineering for Language Models
The chapter delves into the nuances of interacting with different language models, discussing the need for tailored prompting techniques and adapting to individual model characteristics. It contrasts the approaches of data science professionals and non-technical experts in prompt engineering, highlighting the challenges each group faces. The discussion also covers the evolution of prompt engineering, from early indie developers to current AI-centric startups, emphasizing the importance of a systematic approach and involving diverse stakeholders.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode