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A Developer’s Guide to Building Scalable AI: Workflows vs Agents | Towards Data Science
A practical guide to choosing between AI agents and workflows for production systems, covering the hidden costs, architectural trade-offs, and decision framework that can save you thousands in deployment mistakes. Includes real-world examples and a scoring system to determine which approach fits your specific use case.
Core Machine Learning Skills, Revisited | Towards Data Science
Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. Subscribe today With all the buzz around agents, LLMs, and the tools they power, it’s sometimes easy (or at least tempting) to think that fundamental machine learning workflows—feature selection, model monitoring, […]
Understanding Application Performance with Roofline Modeling | Towards Data Science
A common challenge with calculating an application’s performance is that the real-world performance and theoretical performance can differ. With an ecosystem of products that is growing with high performance needs such as High Performance Computing (HPC), gaming, or in the current landscape – Large Language Models (LLMs), it is essential to calculate accurately the performance […]