🎙️ Who is Reuven Lerner?
Reuven Lerner is a seasoned Python and Pandas instructor with over 30 years of experience in programming and teaching. He is dedicated to helping individuals enhance their careers through the Python language. With a background that includes an MIT education in computer science and a PhD in learning sciences, Reuven combines his industry experience with innovative teaching methods to empower learners.

💡 In this episode...
... Reuven shares insights from his extensive career, discussing his current projects that focus on improving online courses and engaging learners through newsletters. He emphasizes the importance of project-based learning and understanding deeper concepts in technology, rather than just syntax. Reuven reflects on the challenges of traditional education and the need for innovative teaching methods. He also addresses the impact of AI on learning and the significance of hands-on experience in skill development. Listeners will find encouragement to embrace programming as a journey and learn how acquiring these skills can lead to fulfilling career opportunities.

Reuven Lerner: https://www.linkedin.com/in/reuven/

Thomas Bustos: https://www.linkedin.com/in/thomasbustos/

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🎙️ Who is Peter Gostev?

Peter Gostev is the Head of AI at Moonpig, specializing in generative AI and its transformative applications in e-commerce. With a strong background in structured problem-solving and data analytics, Peter emphasizes the importance of collaboration and rapid prototyping to drive innovation in AI projects.

💡 In this episode...

... we explore Peter's journey in the AI landscape, discussing the balance between delivering immediate value and fostering innovative experimentation. He shares insights on the distinctions between classical and generative AI, highlighting their respective use cases in structured and unstructured data. Peter elaborates on how generative AI can enhance data quality and operational efficiency, particularly in customer service through automation and insights extraction.

The conversation also addresses the challenges of integrating AI into software development, advocating for specialized teams to effectively manage new technologies. Peter encourages continuous learning and experimentation in AI, urging listeners to engage with emerging tools and models to drive innovation in their own practices.

Peter Gostev: https://www.linkedin.com/in/peter-gostev/

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🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/

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🎙️ Who is Daniel Lenton?

Daniel Lenton is the CEO of Unify, on a mission tounify and simplify the LLM landscape. He has a background in machine learning deployment, as well as in robotics and computer vision. Daniel is an intellectual and creative problem solver who values consistency, balance, and expectation management when building a startup.

💡 In this episode...

... we discuss Daniel's background in machine learning deployment and pursuit of interests in robotics and computer vision. He shares insights on effective communication, user discovery, and gaining insights from customer sales calls for building a successful start-up. He values consistency, balance, and expectation management and credits YC for giving him productivity tips to achieve this. He believes in prioritizing joy and ethics and acknowledges advancements and limitations in AI and AGI.

Daniel Lenton: https://www.linkedin.com/in/daniellenton/

Thomas Bustos: https://www.linkedin.com/in/thomasbustos/

Artistic Direction & Video: Maxence Kerhoas

Follow Let's Talk AI:

✉️ Newsletter 👉 http://eepurl.com/ijZ8qz

🎙️ Podcast 👉 http://smartlink.ausha.co/let-s-talk-ai/

📹 Youtube 👉 https://www.youtube.com/@lets-talk-ai

📷 Instagram 👉 https://www.instagram.com/lets_talk_ai/

🎞️ TikTok 👉 https://www.tiktok.com/@letstalkai/

🌐 Website 👉 https://lets-talk-ai.com/

Hosted by Ausha. See ausha.co/privacy-policy for more information.