So, you've got this amazing machine learning model you created. And you want to share it and let your colleagues and users experiment with it on the web. How do you get started? Learning Flask or Django? Great frameworks, but you might consider Gradio which is a rapid development UI framework for ML models. On this episode, we have Freddy Boulton, to introdu ... Show More
May 30
#550: AI Contributions and Maintainer Load in Open Source
You wake up, brew the coffee, open GitHub, and there it is. Another pull request on your open source project. Thirteen thousand lines added. No issue filed first. No discussion. Just "here, please review this for me." Over the past year, GitHub activity has spiked roughly twelve ... Show More
1h 2m
May 11
#548: Event Sourcing Design Pattern
What if your database worked more like Git? Every change captured as an immutable event you can replay, instead of a single mutating row that quietly forgets its own history. That's event sourcing, and Chris May is back on Talk Python, fresh off our Datastar panel, to walk us thr ... Show More
1h 8m
Mar 2024
172: Transformers and Large Language Models
Patrick and Jason explain transformers and large language models from the ground up. They cover attention, encoders and decoders, self-supervised learning, RLHF, and the key architectural ideas that made modern LLMs possible.
1h 26m
Feb 2024
Episode 108 - Diving into Amazon Q Builder with Clare Liguori
🚀 Dive into the world of AI with Morgan Willis, Principal Cloud Technologist for AWS, as she interviews Clare Liguori, a Senior Principal Software Engineer at AWS and one of the visionaries behind Amazon Q. Discover the secrets behind this groundbreaking Generative AI conversati ... Show More
48m 6s