A production account of scaling an enterprise integration pipeline from 500 to 8,000 events per second, and the two correctness guarantees the throughput work was never allowed to trade away.

The post How to Scale an Integration Pipeline Without Breaking Correctness appeared first on Towards Data Science.

A controlled comparison of a top-5 RAG pipeline and a full 127,000 token prompt on the same 12 questions, same system prompt and same model. Graded blind on correctness, completeness and grounding.

The post Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality appeared first on Towards Data Science.

People can accept tradeoffs when they see value — but if they don’t, what happens?

The post Understanding Anti-AI Public Opinion appeared first on Towards Data Science.

Conceptual overview and walkthrough of a solution approach in Python

The post Jigsaw Jeeves: Building a Puzzle Assistant using Computer Vision appeared first on Towards Data Science.