Shipping a generative feature
From a promising demo to something you can operate: scope, evaluation, interface and rollout.
Andrew Ng on how generative AI works, what it's good for, and how to use it in work and business.
A short, accessible course on large language models and generative AI: how they work at a high level, common use cases, how to use them in projects, and their limitations and risks. No coding needed.
glitchdata links to this course; its content, schedule and pricing are set by DeepLearning.AI.
This course is run by DeepLearning.AI. glitchdata describes it and links to it, but doesn't host its lessons — you take it on their site, under their terms.
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From a promising demo to something you can operate: scope, evaluation, interface and rollout.
Build test sets, grade outputs with code, people and model-based graders, and catch regressions before your users do.
How LLM agents call tools in a loop, how to design tools they use well, and how to keep agents safe and reliable.