Agentic Ai Blog
Geospatial exploratory data analysis with GeoPandas and DuckDB
In this article, I’ll show you how to use two popular Python libraries to carry out some geospatial analysis of traffic acci...
SuperOptiX Meets Pydantic AI: Optimizing MCP Tools and BaseModel Field Descriptions with GEPA
Pydantic AI has quickly become the go-to framework for building type-safe, modern AI agents. With its clean API, strong typing, and int...
Lessons Learned from Upgrading to LangChain 1.0 in Production
What worked, what broke, and why I did it
Why agentic AI needs a new category of customer data
Presented by Twilio
The customer data infrastructure powering most enterprises was architected for a world that no longer exists: one ...
Bolmo’s architecture unlocks efficient byte‑level LM training without sacrificing quality
Enterprises that want tokenizer-free multilingual models are increasingly turning to byte-level language models to reduce brittleness i...
Build vs buy is dead — AI just killed it
Picture this: You're sitting in a conference room, halfway through a vendor pitch. The demo looks solid, and pricing fits nicely under ...
The Machine Learning “Advent Calendar” Day 14: Softmax Regression in Excel
Softmax Regression is simply Logistic Regression extended to multiple classes. By computing one linear score per class and n...
The Skills That Bridge Technical Work and Business Impact
In the Author Spotlight series, TDS Editors chat with members of our community about their career path in data science and A...
Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case
Introduction If you work in data science, data engineering, or as as a frontend/backend developer, you deal with JSON. For p...