How to use LLM tool call IDs as database locks, build execution ledgers in LangGraph, and safely replay state without duplicate API calls.Continue reading on Towards AI »
Why NVIDIA’s NemoClaw is the “Safety First” breakthrough that finally makes personal AI agents safe for everyone — not just engineers.Continue reading on Towards AI »
In 2026, being an AI Engineer is not about knowing how to fine-tune a transformer or call an API. It is about building reliable systems…Continue reading on Towards AI »
As a product analyst, how I turned a supply chain constraint into a step by step optimization engine.AI Agent for FMCG Route OptimizationIntroduction: The Real ProblemWhen on-time delivery in a major FMCG (Fast-Moving Consumer Goods) territory sat at 7…
Every LLM you have ever talked to learned everything it knows by reading an enormous amount of text before you ever typed a single word. Books, research papers, websites, code, and Wikipedia. Billions of tokens, ingested during training. Once training …
From point-obsessed Transformers to patch-native intelligence — every building block, every equation, every battle scar.Continue reading on Towards AI »
A full working implementation that autonomously researches any stock — financials, news sentiment, technical indicators — and produces a structured buy/sell brief.I track Indian equities pretty closely. I follow individual names like ICICI, HDFC, Relia…
Prompt engineering is free. RAG costs infrastructure. Fine-tuning costs time. Most teams get this backwards — they reach for the expensive…Continue reading on Towards AI »
I’ve audited 47 Power BI implementations in the last 3 years. 42 of them had the same fundamental data modeling mistake — a mistake that…Continue reading on Towards AI »
One of the core challenges of data science is drawing meaningful causal conclusions from observational data. In many such cases, the goal is to estimate the true impact of a treatment or behaviour as fairly as possible. This article explores Propensity…