📰 Towards Data Science

A clear mental model and a practical foundation you can build on The post Grounding Your LLM: A Practical Guide to RAG for Enterprise Knowledge Bases appeared f

Persistent AI memory without embeddings, Pinecone, or a PhD in similarity search. The post I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes

A systems design diagnosis of hallucination, corrigibility, and the structural gap that scaling cannot close The post The Inversion Error: Why Safe AGI Requires

Make your coding agent more efficient The post How to Make Claude Code Better at One-Shotting Implementations appeared first on Towards Data Science .

I’ve been so surprised by how fast individual builders can now ship real and useful prototypes. Tools like Claude Code, Google AntiGravity, and the growing ecos

Sara A. Metwalli on the rise of a promising new technology, the effects of LLM on her work, and more. The post Why Data Scientists Should Care About Quantum Com

What happens when your production model drifts and retraining isn’t an option? This article shows how a self-healing neural network detects drift, adapts in rea

A practical, code-driven guide to scaling deep learning across machines — from NCCL process groups to gradient synchronization The post Building a Production-Gr

In my latest posts, we’ve talked a lot about prompt caching as well as caching in general, and how it can improve your AI app in terms of cost and latency. Howe

Supercharge Claude Code with continual learning The post How to Make Claude Code Improve from its Own Mistakes appeared first on Towards Data Science .

How AI agents, data foundations, and human-centered analytics are reshaping the future of decision-making The post From Dashboards to Decisions: Rethinking Data

We’ve become remarkably good at building sophisticated agent systems, but we haven’t developed the same rigor around proving they work. The post Production-Read

A step-by-step guide to making your OpenAI apps faster, cheaper, and more efficient The post Prompt Caching with the OpenAI API: A Full Hands-On Python tutorial

An 85% accurate AI agent fails 4 out of 5 times on a 10-step task. Learn the compound probability math behind production failures (and the 4-check pre-deploymen

Why agentic RAG systems fail silently in production and how to detect them before your cloud bill does The post Agentic RAG Failure Modes: Retrieval Thrash, Too

The seduction of AI code assistants The post The New Experience of Coding with AI appeared first on Towards Data Science .

Get more out of your coding agents by making reviewing more efficient The post How to Effectively Review Claude Code Output appeared first on Towards Data Scien

It’s a feature of the architecture The post Hallucinations in LLMs Are Not a Bug in the Data appeared first on Towards Data Science .

Shadow AI and the desire paths of modern work The post Follow AI Footpaths appeared first on Towards Data Science .

What I learned building and distributing my first Skill from scratch The post How to Build a Production-Ready Claude Code Skill appeared first on Towards Data S

Google DeepMind found multi-agent networks amplify errors 17x. Learn 3 architecture patterns that separate $60M wins from the 40% that get canceled. The post Th