Evaluating and Building AI Systems - ML 166

Evaluating and Building AI Systems - ML 166

Michael Berk dives deep into the adventures of AI and machine learning with our special guest, Richmond Alake, a staff developer advocate at MongoDB. Richmond's journey from web development to AI was driven by a quest for excitement and new challenges. In this episode, he shares how he transitioned into the AI field, his passion for using writing as a learning tool, and the importance of continuous learning in evolving tech landscapes.


They explore the intricacies of building and evaluating Retrieval-Augmented Generation (RAG) systems, the benefits of MongoDB's versatile database functionalities, and the pressing challenges in machine learning data collection and evaluation. Richmond also gives us a peek into MongoDB's advanced solutions for AI application development and how strategic data chunking can impact efficiency.
Whether you're a budding AI enthusiast or an experienced developer looking to expand your horizons, this episode is packed with practical advice, career insights, and the latest trends in AI and machine learning. Stay tuned as we uncover how to navigate the complexity of RAG pipelines and the evolving landscape of generative AI. Let's get started!

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AI-Powered Tools for Productivity with Artem Koren - ML 169

AI-Powered Tools for Productivity with Artem Koren - ML 169

In this week's episode, Michael and Ben sit down with Artem Koren, Chief Product Officer at Sembly AI, to explore the future of AI integration in the workplace. We'll delve into Sembly AI's mission to...

10 Loka 202459min

The Impact of Generative AI on the Advertising Industry - ML 168

The Impact of Generative AI on the Advertising Industry - ML 168

In today's episode, Michael is joined by Hikari Senju the Founder and CEO at Omneky. He starts by discussing how he built Omneky, an AI-Driven Marketing Platform. They dive into Hikari's approach to w...

3 Loka 20241h 1min

Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167

Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167

Today, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback, mentorship, and growth in the field of software development. In this episode, Michael shar...

26 Syys 20241h 6min

Demystifying AI Innovations - ML 165

Demystifying AI Innovations - ML 165

Today, we have a special guest Abi Aryan, an accomplished founder of Abide AI and a seasoned expert in machine learning. Joining us are your hosts, Michael Berk and Ben Wilson, who bring a wealth of e...

12 Syys 20241h 7min

Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164

Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164

Today, host Michael Berk and Ben Wilson dive deep into the multifaceted world of software engineering and data science with their insightful guest, Sandy Ryza a lead engineer from Dagster Labs. In thi...

29 Elo 202459min

Building, Testing, and Abandoning Software - ML 163

Building, Testing, and Abandoning Software - ML 163

In today's episode, Ben and Michael dive deep into the intricacies of software development, innovation, and team dynamics. This episode explores the critical balance between building in-house tools ve...

22 Elo 20241h 5min

AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162

AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162

In today's episode, Ben and Michael dive deep into the intersection of education, AI, and innovative instructional design. Luis Garcia who is the President of PETE, delves into automating instructiona...

15 Elo 20241h 3min

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