Large language models and chat-based AIs are kind of mind blowing at the moment. Many of us are playing with them for working on code or just as a fun alternative to search. But others of us are building applications with AI at the core. And when doing that, the slightly unpredictable nature and probabilistic nature of LLMs make writing and testing Python code very tricky. Enter promptimize from Maxime Beauchemin and Preset. It's a framework for non-deterministic testing of LLMs inside our applications. Let's dive inside the AIs with Max.
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Think about the different APIs and databases your application works with. Every one of them requires either an API key or a database connection string that itself contains a password. How do you let your application access this sensitive information without storing it in source code or putting in other compromising locations? We have Glyph Lefkowitz on the show to share his security fable as well as just good advice for keeping secrets out of Python code.
Interesting and entertainingI'm an avid listener of podcasts going way back before this was a big thing. This is one of those special gems worth listening to, learn something new or remind me of what is possible in Python.
I just started learning Python and this is perfect!!!Thankfully we live in the age where you have a podcast for everything. I just started learning programming and Python is my first language. I LOVE THE INTRO SONG!
My Favorite Developer PodcastThe best podcast for actual developer insight, and a close run for second best for showing what's going on in the Python community (see podcast.__init__)
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