<p>Today we look at an applied use case for ML: developing intelligent meeting notes. Expect to learn about LLMs, AI assistants, and how to develop an AI startup.</p><p><br></p><h1>On YouTube</h1><p><a href="https://youtu.be/5dchFSA8LrU" rel="nofollow">Machine Learning for Meeting Notes - ML 110</a></p><p><br></p><h1>Sponsors</h1><ul><li><a href="https://topenddevs.com/resume" rel="nofollow">Chuck&#39;s Resume Template</a></li><li><a href="https://topenddevs.com/book-club" rel="nofollow">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" rel="nofollow">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><p><br></p><h1>Socials</h1><ul><li><a href="https://www.linkedin.com/in/akoren/" rel="nofollow">LinkedIn: Artem Koren</a></li></ul><p> </p><br/><br/>Advertising Inquiries: <a href='https://redcircle.com/brands'>https://redcircle.com/brands</a><br/><br/>Privacy & Opt-Out: <a href='https://redcircle.com/privacy'>https://redcircle.com/privacy</a>

How to Transition from Software Engineer to ML Engineer - ML 111

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.