Stay ConnectedMachine 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.
Copyright: © 2022 Intentional Excellence Productions, LLC
In today's episode, we speak with Anand Das, the CTO and co-founder of bito.ai, an LLM-powered code assistant. Expect to learn about managing LLM context, keeping LLMs up-to-date, common user pitfalls, and much more!
Sponsors
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!
Sponsors
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.
Sponsors
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!
Sponsors
Have you ever written code and thought, "hmm, I wonder if my teammates would use this." Well in today's episode, we show you how to go from concept to production-level code. Spoiler alert: you're going to have to write tests!
Sponsors
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!
Sponsors
In today's episode, we speak with Netflix ML engineer Amir Ziai. Expect to learn about building ML tools for stakeholders, the pros and cons of a Netflix-like culture, and Amir's strategy for learning.
Sponsors
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.
Sponsors
In today's episode, we speak with Roman Grebennikov, an expert in ranking algorithms. Expect to learn about his open source project, the difference between retrieval and ranking, and much more!
Sponsors
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.
Sponsors
Our TOPPODCAST Picks 
