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Towards Data Science
16.07.2025
Learn how to make your LLM applications more robust
How to save time and boost your models with these two approachable AutoML libraries.
Using optimal transport to weight what matters most In LLM-generated responses
A practical guide to connecting and coordinating multiple AI agents.
When numbers lie — and your metrics mislead you
LLM or custom model: how should you choose the right solution?
Using the Elastic Beanstalk service
15.07.2025
A deep dive into advanced evaluation for data scientists
A full circle moment 30 years in the making
When you have a drill-through page that can be called from multiple pages, it could be interesting to show which page was the originating page in the page title. Here I will show you how to do it.
A practical guide to automating prompt engineering for voice assistants
Python tutorial for reproducible labeling of cutting-edge topic models with GPT4-o-mini.
A 40-Year Look at Data, Business Models, and the Forces Shaping Intelligent Systems
How AI learns to make better decisions and why you should care about exploration vs. exploitation
The magic behind multimodal models unlocked through contrastive learning
A sequential decision framework with Bayesian learning
12.07.2025
They may deserve better.
This week, we focus on the future of data science and the opportunities that can arise amid uncertainty.
Scaling a simple RAG pipeline from simple notes to full books
11.07.2025
How metrics and monitoring combine with human expertise to build trustworthy AI in healthcare.
Understanding all the details of the model context protocol
Setting up a robust experimentation process
A deep dive into real-world case studies: from indoor space and urban streets to world-famous landmarks
10.07.2025
STL Decomposition excels when seasonal patterns evolve over time.
Learn how you can improve your machine learning models using effective data cleaning
PyTorch model performance analysis and optimization — Part 10
9 reasons why work data is the single most valuable data source for LLM training, uniquely capable of propelling LLM performance to unprecedented heights.
Regular, ReAct, Chain-of-Thought, Reflexion, ToT, GoT, PoT
What two groundbreaking studies reveal about the future of human-AI collaboration, and the enterprise playbook for thriving in the AI agent era
09.07.2025
Microsoft's latest paper discusses a path to medical superintelligence. How close are we, really?
Create a fun text-to-speech demo in minutes
A visual tour and from-scratch guide to train GRPO reasoning models in PyTorch
The taxes and health insurance edition
08.07.2025
Discover how POSET indicators transform data into coherent scoring systems, enabling meaningful comparisons while preserving the data’s multi-dimensional semantic structure.
The framework is now an open-source Python package for streamlined ML workflows
Leveraging MCP for automating your daily routine
A deep dive into the implementation of Shor's algorithm and an analysis of quantum runs on IBM quantum hardware
How Shazam recognizes songs in seconds
How StaticFrame and Python 3.13t enable true thread-based concurrency
A four-step plan for C language speed where it matters most