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.
Required listeningVery substantive, polished podcast. Michael is the ideal interviewer: deeply knowledgeable and prepared, but knows how to get out of the way and let his guests dominate the conversation. Absolutely required listening for all Pythoneers IMO.
Seriously great!I really like this podcast. Great host, interesting guests and topics, and high quality work.
Michael Kennedy has a fantastic personality for tech podcasts, I have always found his explanations light-hearted enough to be entertaining, but with enough detail that it's interesting and worth listening to in order to learn. In my experience, that's a rare combination in tech podcasts.
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