Phillip Carter, Principal Product Manager at Honeycomb and open source software developer, talks with host Giovanni Asproni about observability for large language models (LLMs). The episode explores similarities and differences for observability...
William Falcon of Lightning AI discusses how to use the Lightning platform to optimize deep learning models, noting that optimization is a necessary step towards creating a production application. Philip Winston spoke with Falcon about PyTorch...
Andy Dang, Head of Engineering at WhyLabs discusses observability and data ops for AI/ML applications and how that differs from traditional observability. SE Radio host Akshay Manchale speaks with Andy about running an AI/ML model in production and...
Mike Del Balso co-founder of Tecton discusses Feature Stores and how it helps operationalize Machine Learning. Akshay spoke with Mike about data engineering challenges to connect signals that make a feature from various data sources to a Machine...
Jason Meller, CEO and CTO of Kolide, discusses the strategies and heuristics for finding a tech stack for your next startup or project. Host Adam Conrad spoke with Meller on the basics of modern tech stacks, understanding trade-offs for these stacks...