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Writing on AI, data & Python

I write about AI techniques, data science tooling, Python, and real-world applications of analytics in healthcare and business.

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Also featured in CodeX Python in Plain English Data Science Collective @pgshanding on Medium

Python code editor showing a custom scikit-learn transformer class

Creating Custom Transformers in Python and scikit-learn

Transformers are a crucial part of machine learning preprocessing. Here's how to build custom transformers tailored to your own data and requirements.

Abstract visualization representing AI prompt engineering

Advanced Prompting Techniques for Enhanced AI Performance

Prompt engineering is the practice of designing inputs that produce optimal outputs from AI tools. Here's a rundown of the most useful techniques.

Diagram-style illustration comparing two large language model architectures

Supervised Fine-Tuning (SFT) vs. Retrieval-Augmented Generation (RAG)

Two widely adopted strategies for adapting large language models to specific tasks or domains, compared side by side.

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