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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Episoder(209)

AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153

AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153

Michael Berk and Ben Wilson join cybersecurity expert Daniel Miessler to delve into the cutting-edge world of AI and cybersecurity. They discuss the evolving tactics of attackers, from specialized tar...

6 Jun 20241h 17min

The Journey to Expertise with Fernando Lopez - ML 152

The Journey to Expertise with Fernando Lopez - ML 152

Fernando Lopez is an AI Engineer at Google. They delve deep into the realms of machine learning, documentation challenges in open-source projects, and the transition from startup environments to tech ...

23 Mai 20241h 5min

Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151

Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151

Deeksha Goyal is the Senior Machine Learning Engineer at Lyft and Michael Sun is the Staff Software Engineer at Lyft. They delve into the intricacies of machine learning and data-driven technology. In...

9 Mai 20241h 7min

The Impact of AI Tools on Software Development and Quality Assurance - ML 150

The Impact of AI Tools on Software Development and Quality Assurance - ML 150

Matt Van Itallie is the Founder & CEO at Sema. This episode covers a wide range of topics, from the impact of AI and machine learning on software development and educational systems, to the importance...

2 Mai 20241h 13min

Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149

Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149

Terry Rodriguez is the Co-Founder at Remyx AI. They discuss the challenges and opportunities in deploying and updating AI models for robotics, exploring the potential applications across various indus...

18 Apr 20241h 6min

Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148

Lukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his experience using machine learning to analyze cosmic ray particles and detect secondary p...

18 Apr 20241h 16min

Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147

Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147

Nick Schrock is the Founder of Dagster Labs. He is also the Creator of Dagster and the Co-creator of GraphQL. They delve into the world of data engineering, software development, and ML orchestration....

11 Apr 20241h 6min

The Science-Engineering Blend - ML 146

The Science-Engineering Blend - ML 146

Ben and Michael dive into the dynamic relationship between engineers and scientists in the realms of software engineering and physical science. They explore the differences and similarities between th...

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