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What is Chain-of-Thought (CoT) Prompting?

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Manage episode 433798353 series 3578824
Innhold levert av Emily Laird. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Emily Laird eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

In this episode of Generative AI 101, we break down the concept of chain-of-thought prompting—a technique that helps AI models think through complex tasks step by step, improving their logical and accurate responses. By guiding the AI, or your large language model of choice, through detailed instructions, this method enhances performance on tasks like arithmetic and decision-making. However, it’s not without challenges: it works best with large models and can be resource-intensive.
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of AI and prompt engineering. And remember, you now know more about chain-of-thought prompting than you did before!
Connect with Emily Laird on LinkedIn

  continue reading

72 episoder

Artwork
iconDel
 
Manage episode 433798353 series 3578824
Innhold levert av Emily Laird. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Emily Laird eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

In this episode of Generative AI 101, we break down the concept of chain-of-thought prompting—a technique that helps AI models think through complex tasks step by step, improving their logical and accurate responses. By guiding the AI, or your large language model of choice, through detailed instructions, this method enhances performance on tasks like arithmetic and decision-making. However, it’s not without challenges: it works best with large models and can be resource-intensive.
Connect with Us: If you enjoyed this episode or have questions, reach out to Emily Laird on LinkedIn. Stay tuned for more insights into the evolving world of AI and prompt engineering. And remember, you now know more about chain-of-thought prompting than you did before!
Connect with Emily Laird on LinkedIn

  continue reading

72 episoder

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