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Towards Data Science - Medium
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Latest posts
Last updated about 10 hours ago
Why CrewAI’s Manager-Worker Architecture Fails — and How to Fix It
about 10 hours ago
A real-world analysis of why CrewAI’s hierarchical orchestration misfires—and a practical fix...
How to Implement Three Use Cases for the New Calendar-Based Time Intelligence
about 14 hours ago
Starting with the September 2025 Release of Power BI, Microsoft introduced the...
Ten Lessons of Building LLM Applications for Engineers
about 16 hours ago
Practical field notes on workflows, structure, and evaluation from two years of...
How to Create Professional Articles with LaTeX in Cursor
about 17 hours ago
Learn how to rapidly create professional articles and presentations with LaTeX in...
How to Implement Randomization with the Python Random Module
1 day ago
Let's generate randomness in our code’s outputs The post How to Implement...
Struggling with Data Science? 5 Common Beginner Mistakes
1 day ago
Avoid these mistakes to fast track your data science career The post...
A Hands-On Guide to Anthropic’s New Structured Output Capabilities
1 day ago
A developer’s guide to perfect JSON and typed outputs from Claude Sonnet...
LLM-as-a-Judge: What It Is, Why It Works, and How to Use It to Evaluate AI Models
1 day ago
A step-by-step guide to building AI quality control using large language models...
Learning Triton One Kernel at a Time:Â Softmax
3 days ago
Zooming in on a crucial component of dot-product attention, language modeling, and...
Your Next ‘Large’ Language Model Might Not Be Large After All
3 days ago
A 27M-parameter model just outperformed giants like DeepSeek R1, o3-mini, and Claude...
Empirical Mode Decomposition: The Most Intuitive Way to Decompose Complex Signals and Time Series
4 days ago
A step-by-step breakdown of empirical mode decomposition to help you extract patterns...
Overfitting vs. Underfitting: Making Sense of the Bias-Variance Trade-Off
4 days ago
The best models live in the sweet spot:Â generalizing well, learning enough...