WEBVTT

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Analyzing performance in automatically generated code

00:05:11 --> 00:09:17
Navigating the stages of AI grief and adoption

00:09:17 --> 00:13:04
Integrating AI into web performance engineering workflows

00:13:04 --> 00:15:51
Building greenfield projects with AI code generation

00:15:51 --> 00:21:22
Exploring browser integration with the model context protocol

00:21:22 --> 00:25:47
Overcoming AI hallucinations and restrictive content guardrails

00:25:47 --> 00:30:58
Sourcing training data for predicting web page speeds

00:30:58 --> 00:36:49
Training a gradient boosting regression model in Python

00:36:49 --> 00:42:26
Evaluating page performance using customized ML prediction models

00:42:26 --> 99:59:59
Assessing the future of AI in web performance optimization