Py Data

Automated, objective evaluation of LLM agent outputs against real-world API ground truth is the only sustainable path to moving agents from exper…

Mastering Python's `importlib` and `abc` modules enables the creation of robust, extensible plugin architectures that allow systems to evolve…

Architect AI agents that go beyond simple function calls, dynamically orchestrating tools, gracefully handling execution failures, and iterativel…

Have you ever found your sophisticated AI agent, brilliant at high-level reasoning and orchestrating external APIs, stumble when faced with a see…

Learn to architect and implement an uncertainty-sampling-based active learning loop for text classification, drastically reducing the cost and ti…

Implement an adaptive data quality framework using Great Expectations to validate and monitor dynamic, unpredictable external data feeds, leverag…

Have you ever found yourself staring at your monthly LLM API bill, a mix of awe at what your agentic systems accomplished and a growing sense of …

Master advanced text chunking techniques—recursive, semantic, and LLM-assisted—to significantly enhance retrieval accuracy, reduce LLM hallucinat…

As we move beyond basic RAG architectures towards dynamic, agentic systems leveraging real-time data, like the incremental indexing pipeline we e…

I've spent years building systems that attempt to cut through the noise of information overload. We've all seen generic content recommend…