Go beyond the basics and understand how LLMs actually work. Master prompting techniques, compare models, and learn cost optimization strategies for production use.
Read more →Tag: Transformers
Natural Language Processing for Data Analytics: Trends and Applications
After two decades of building data systems, I’ve watched Natural Language Processing evolve from a research curiosity into an indispensable tool for extracting value from the vast ocean of unstructured text that enterprises generate daily. The convergence of transformer architectures, cloud-scale computing, and mature NLP libraries has fundamentally changed how we approach data analytics, enabling […]
Read more →Introduction to Tokenization
The moment I truly understood tokenization was not when I read about it in a textbook, but when I watched a production NLP pipeline fail catastrophically because of an edge case the tokenizer could not handle. After two decades of building enterprise systems, I have learned that tokenization—the seemingly simple act of breaking text into […]
Read more →Introduction to Generative AI: A Comprehensive Guide
The first time I watched a generative model produce coherent text from a simple prompt, I knew we had crossed a threshold that would reshape how we build software. After two decades of working with various AI and ML systems, from rule-based expert systems to deep learning pipelines, I can say with confidence that generative […]
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