Machine Learning Embeddings with Edo Liberty

Machine Learning Embeddings with Edo Liberty

How can you tell if two images are similar? What about two videos, or two podcast episodes? Finding similar items in a data set is the foundation of Search, Recommendations, Spam Fighting, and many other areas of machine learning. To do this, we need some examples of images that are similar & not similar (called labels), and a method that can learn patterns from these examples (called a model). Today we have Edo Liberty, CEO of Pinecone, on the show to dive into how embeddings are trained and how to quickly find the similar groups of items from millions (even billions!) of examples.

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Jaksot(188)

187: Agentic Coding

187: Agentic Coding

In this episode, Patrick and Jason cover Agentic Coding!

2 Touko 1h 38min

186: Becoming a Manager

186: Becoming a Manager

Patrick and Jason discuss what it means to become a manager and how the role differs from individual engineering work. They cover hiring, coaching, performance management, team goals, and when moving ...

3 Helmi 1h 27min

185: Workflow Orchestrators

185: Workflow Orchestrators

Patrick and Jason break down workflow orchestrators and why they matter for batch jobs, long-running tasks, and resumable distributed systems. They compare tools such as Airflow, Dagster, Temporal, Ra...

4 Marras 20251h 32min

184: Asynchronous Programming

184: Asynchronous Programming

Patrick and Jason explain asynchronous programming and how it differs from traditional multithreading and multiprocessing. They cover coroutines, blocking versus non-blocking operations, promises, cal...

23 Syys 20251h 30min

183: Landing a Software Job in 2025

183: Landing a Software Job in 2025

Patrick and Jason are joined by Mark Cunningham to discuss how software engineers can find strong job opportunities and perform well throughout the interview process. They cover sourcing strategies, r...

31 Heinä 20251h 46min

182: AI Assisted Coding

182: AI Assisted Coding

Patrick and Jason discuss how AI-assisted coding tools can speed up development, answer questions about a codebase, and reduce boilerplate work. They compare common workflows and tools such as Copilot...

30 Kesä 20251h 37min

181: Memory Management

181: Memory Management

Patrick and Jason cover memory management from both the operating-system and language-runtime perspectives. They discuss heap management, virtual memory, garbage collection, ownership models, and prac...

12 Touko 20251h 46min

180: Reinforcement Learning

180: Reinforcement Learning

Patrick and Jason introduce reinforcement learning and place it alongside supervised and unsupervised learning. They cover Q-learning, SARSA, policy gradients, actor-critic methods, PPO, imitation lea...

17 Maalis 20251h 52min

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