Adventures in Machine Learning

Anand Das, CTO and co-founder of bito.ai, discusses challenges and approaches in implementing LLMs for existing codebases. They explore the difficulties of chunking code and generating context, as well as the risks and consequences of using large-scale language models. They also touch on using TPT4 to diagnose a Python code problem, learning programming languages with AI models, and the limitations of relying solely on memorization and sequencing.

In today's episode, we speak with Shivek Sachdev, product owner at a seed-to-sale Cannabis company. Expect to learn about disrupting new industries, applying LLMs to daily work, and much more!SponsorsChuck's Resume TemplateDeveloper Book Club startingBecome a Top 1% Dev with a Top End Devs MembershipSocialsLinkedIn: Shivek Sachdev Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

In today's episode we speak to Eric Daimler, a White House Presidential Innovation Fellow, professor at Carnegie Mellon, and the current CEO of Conexus. Expect to learn about how AI is impacting the military, general workforce, and our understanding of sentience! Oh, and make sure you use farm animals when explaining technical concepts. SponsorsChuck's Resume TemplateDeveloper Book Club startingBecome a Top 1% Dev with a Top End Devs MembershipAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

In today's episode, we speak with Jeff Procise, founder of Wintellect, an Azure-focused software consulting company. Expect to learn about your next LLM MVP on Azure, the societal impact of AI, the bifurcation of model size, and much more!SponsorsChuck's Resume TemplateDeveloper Book Club startingBecome a Top 1% Dev with a Top End Devs MembershipAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Discover the challenges of sharing reusable functions within a team and the importance of writing tests. Explore the use case of hot dog sales forecasting and the transition from prototype to MVP. Learn about efficient solutions and the benefits of seeking feedback. Dive into multi-threading impact on file searching and the dangers of over-engineering. Find out about a specific tool and upcoming workshops covering various topics. Gain insights into frameworks, utilities, and the significance of tests in code development.

In today's episode, Michael and Ben break down some surefire methods to be successful. If you follow these tips, you are guaranteed to co-found the next Google. Some topics include time boxing exciting work, tips for growing documentation, pitching to diverse crowds, and much more!SponsorsChuck's Resume TemplateDeveloper Book Club startingBecome a Top 1% Dev with a Top End Devs MembershipAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Netflix ML engineer Amir Ziai discusses building ML tools, the pros and cons of a Netflix-like culture, and his strategy for learning. They also talk about the abundance of ideas and collaboration at Netflix, the unique and satisfying team culture, the ultimate goal of satisfaction and growth, building prototypes and accumulated knowledge, the importance of reusable code and testing in ML projects, and upcoming workshops, data lifecycle management, culture, learning, and tech stack.

In today's episode, we dive into Ben's experience in navigating the career ladder. Expect to learn why your leveling matrix is probably wrong and how you should actually spend your time to maximize career growth.SponsorsChuck's Resume TemplateDeveloper Book Club startingBecome a Top 1% Dev with a Top End Devs MembershipSocialsLinkedIn: Michael BerkLinkedIn: Benjamin Wilson Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.

Roman Grebennikov, an expert in ranking algorithms, talks about his open source project MetaRank, the importance of ranking data and feature engineering in search algorithms, the relationship between latency and conversion rates, the role of a principal engineer, responsibilities in machine learning, and the advantages of type languages in search algorithms.

In today's episode, we walk through Ben's experience creating the Hugging Face transformer flavor for ML flow. During this case study we highlight the structure he uses to learn new technologies and cover some practical tips along the way.SponsorsChuck's Resume TemplateDeveloper Book Club startingBecome a Top 1% Dev with a Top End Devs MembershipAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacyBecome a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.