LLMs, large language models, are one of the most impressive pieces of tech we've had in a long time. But from a developer's viewpoint, LLMs are kind of a nightmare to test, aren't they? In this talk, I adapt traditional testing methodologies like TDD and BDD to the realm of LLM-powered applications.
Taking a model from Jupyter to a production application is not a trivial task. In this short talk, we cover the whole process, starting from a Jupyter Notebook and finishing on a deployed model on HuggingFace.co. We'll be using open-source and free services only.
This talk proposes methods and resources to leverage LLMs for technical writing. It results from 5 years of experience writing blogs, creating video content, and editing multiple ebooks as a full-time technical writer.
Learn for free, join the best tech learning community for a price of a pumpkin latte.
Event notifications, weekly newsletter
Delayed access to all content
Immediate access to Keynotes & Panels
Access to Circle community platform
Immediate access to all content
Courses, quizes & certificates
Community chats