0
Amplify the Expert: A Philosophy for Building Enterprise RAG(towardsdatascience.com)
0
Water Cooler Small Talk, Ep. 11: Overfitting in RAG evaluation(towardsdatascience.com)
0
From Local LLM to Tool-Using Agent(towardsdatascience.com)
0
Introducing Mistral OCR 4(mistral.ai)
0
Bringing more control over your connectors(mistral.ai)
0
One Month Into Learning Data Engineering in Public: Here’s What I Didn’t Write About(towardsdatascience.com)
0
An LLM as arbiter in RAG retrieval: picking the right candidate with reasons(towardsdatascience.com)
0
3 Agents. 3 LLMs. 1 Aging GPU: Engineering Parallel Inference on Bare Metal(towardsdatascience.com)
0
Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression(towardsdatascience.com)
0
The Hot Path Belongs to GBDTs, Agents Own the Cold Path: A Payment-Fraud Benchmark(towardsdatascience.com)
0
Vector RAG Isn’t Enough — I Built a Context Graph Layer for Multi-Agent Memory(towardsdatascience.com)
0
Which tokens does a hybrid model predict better?(huggingface.co)
0
Run a vLLM Server on HF Jobs in One Command(huggingface.co)
0
0
Automating fork maintenance with AI agents(cohere.com)
0
0
How to build a self-improvement loop for your Skills(www.warp.dev)
0
0
Building a skill optimization loop(www.warp.dev)
0
Subconscious + GLM-5.2 Makes "/compact" Obsolete(www.subconscious.dev)
0
Anchor Detection for RAG: Parallel Detectors, Then One LLM Call at the End(towardsdatascience.com)
0
Why I Stopped Using One Agent and Built a Multi-Agent Pipeline Instead(towardsdatascience.com)
0
A Three-Phase Factual Recall Circuit in Gemma-2B and Gemma-12B-IT(towardsdatascience.com)
0
Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable(towardsdatascience.com)
0
How to Build a Credit Scoring Grid From a Logistic Regression Model(towardsdatascience.com)