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.
ExcellentI love the long-form, story-driven podcasts. Michael does a great job interviewing and always seems to get the best guests. I'm working on listening to every episode.
Exceptional for those new to PythonThe podcast has been a wealth of information and has positively contributed to my efforts to learn Python. Michael interviews a great cross-section of people using Python. The biggest benefit for me has been the exposure to the various libraries and seeing the multitude of areas that I can use Python. Frankly, the podcast this the best way I've found to augment the training videos, documentation, and books I've used to learn the language.
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Talk Python to Me is a weekly podcast hosted by
Michael Kennedy.
The show covers a wide array of Python topics as well as
many related topics.
The format is a casual 1-hour conversation with industry
experts.
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