The five MLOps monitoring assumptions agents break, and which inherited signals now pass failed runs as healthy.
Mostafa Ibrahim
Standard prompt attacks are merely the beginning. A structured framework to map and mitigate the backend attack vectors of agentic workflows.
Inference Scaling (Test-Time Compute): Why Reasoning Models Raise Your Compute Bill
Large Language ModelsWhy reasoning models dramatically increase token usage, latency, and infrastructure costs in production systems
Agentic RAG Failure Modes: Retrieval Thrash, Tool Storms, and Context Bloat (and How to Spot Them Early)
Large Language ModelsWhy agentic RAG systems fail silently in production and how to detect them before your cloud bill does
A practical guide to choosing between single-pass pipelines and adaptive retrieval loops based on your use case's complexity, cost, and reliability requirements
Explore your data easily with these 6 1-lines of code using Pandas
The Worst 4 Mistakes I Made in My First Research Project at University College London
Artificial IntelligenceLearn from my mistakes and excel at your own research project
What are cloud data warehouses and how to implement them at scale
A systematic approach to achieving good results in Kaggle competitions
I've worked as a machine learning consultant for an amazing Medical AI startup over the last few months