NLP for Developers

Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, ...  Show more

Recommender systems influence nearly every aspect of our digital lives—but what does it mean for those systems to be fair? Robin Burke joins Data Skeptic to discuss the history of recommender systems, the limitations of optimizing purely for accuracy, and how ideas from social ch ...  Show more

Ian sat down with Dion Hinchcliffe, VP and Principal Analyst at Constellation Research. Together they discussed the value of low-code tools, how to lead digital transformation and the best tips to building your IT team.

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Scott and Wes serve up ways developers can use AI tools like Claude, GitHub Copilot, and more to boost productivity. From error tracing to refactoring code and automating mundane tasks, they break down how AI can handle the heavy lifting so you can focus on the fun stuff! Show N ...  Show more

If you're building your own #VoiceFirst app outside the assistants, you'll also need to think about how you get input from people. Fortunately, there are a number of tools available from AWS and Google Cloud (and others) that will help you do this. Mark and Allen go over the r ...

We discuss how OpenAI continues to evolve its tools for professional use cases. Understand how this update boosts productivity and accuracy in complex tasks. This podcast unpacks the technical edge GPT-4.1 adds to ChatGPT. Try AI Box: ⁠⁠ https://AIBox.ai/⁠⁠ AI Chat YouTube Channel ...  Show more