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Most Dorky Conversation - Guest: Dona Sarkar

Author
Jon Russell & Mike Gowland
Published
Thu 01 Feb 2024
Episode Link
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SummaryDona Sarkar, Chief Trouble Maker for AI and Copilot Extensibility, discusses the importance of low-code solutions to address real-world problems. She also highlights the need for iteration and collaboration in developing effective prompts. Dona emphasizes the importance of design thinking and prompt UX in generating AI models. The conversation includes a game called Poets or Prompt, where Dona guesses whether a poem is generated by AI or authored by a human poet. The hosts also discuss uncomfortable moments and how they can lead to personal growth. Dona challenges the hosts to understand how language models work and translate AI concepts for non-technical audiences.

Key Takeaways

  • The Power Platform has the potential to transform lives and careers by providing low-code solutions to real-world problems.
  • Prompting in AI is a natural language way to maximize the value of AI products and improve job performance.
  • Developing effective prompts requires iteration, collaboration, and customization for specific industries and roles.
  • Diversity in prompt engineering is crucial to address bias in AI models.
  • Uncomfortable moments can lead to personal growth and expanded comfort zones.
  • Understanding how language models work and translating AI concepts for non-technical audiences is important.

Special Thanks toOur Guest Dona Sarkar:

KenLikeFit for providing music for this episode - https://linktr.ee/kenlikefit

Additional Music:Title: "J. S. Bach: Brandenburg Concerto No4-1 BWV1049"Author: "Kevin Macleod" - https://freemusicarchive.org/music/Kevin_MacLeod/Source: "Free Music Archive" - https://freemusicarchive.org/music/Kevin_MacLeod/Classical_Sampler/Brandenburg_No4-1_BWV1049License: "CC BY 3.0" - https://creativecommons.org/licenses/by/3.0/

Thanks to:
KenLikeFit for providing music for this episode - [Find out more about him and listen to his music here](https://linktr.ee/kenlikefit)

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Love you,
Mike Gowland,
Jon Russell

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