They call me Ekalaivan of IIT.

If you know the Mahabharata, you know why that name means something to me. Ekalaivan learned archery without ever formally sitting before his teacher. He absorbed the craft through devotion, observation, and relentless practice. That is my story too. I never held an IIT …

I'm not showing off. This is just what I am.

I'm an FDFS Freak — First Day, First Show. But in GenAI.

You know the type. The fan who books the earliest possible screening, front row, opening day. Not for the review scores, not for the crowd — for the sheer thrill …

Most mainframe troubleshooting RAGs fail at the same place: retrieval. An abend code like S0C7 is a near-exact lookup, not a fuzzy semantic match — but vector search happily returns the S0C4 chunk because the embeddings sit close together. And job dependencies are graph-shaped: an abend in step 3 cascades to …

Training & Adaptation Strategy

1. What approaches exist for training or adapting an LLM? — Pretraining, fine-tuning, instruction tuning, prompt engineering, RAG.

2. Base model vs instruction-tuned model? — Pure next-token predictor vs one aligned to follow instructions.

3. When would you choose fine-tuning over RAG? — Stable domain knowledge, style/format control, latency sensitivity.

4. When would …

A starter question bank for screening entry-level GenAI engineers. Grouped by theme, covering fundamentals through production concerns.

Fundamentals

1. What is generative AI vs discriminative AI? — Generative models learn to produce new data; discriminative models learn decision boundaries to classify or predict.

2. What is a large language model (LLM)? — A neural …

NemoClaw is NVIDIA's agent sandbox that lets you run AI assistants locally using your own inference backend — Ollama, llama.cpp, or cloud providers. It bundles OpenShell as a gateway and OpenClaw as the agent runtime, all orchestrated through Docker containers.

Here's a walkthrough of setting it up from scratch.

Setup …

"The issue isn't the coding agent's coding ability, but our approach.
We treat coding agents like search engines when we should be treating them
more like literal-minded pair programmers."
— Den Delimarsky, GitHub Principal Product Manager

The Problem With Vibe Coding

If you've used an AI coding assistant, you've experienced vibe …

Building reliable AI agents isn't just about picking the right model — it's about the patterns you wire around it. Here's a concise reference of 15 agentic system design concepts worth knowing. Two lines each — just enough to understand what they do and why they matter.

Resilience & Failure Isolation

Agent Circuit …

Claude Code is not a chatbot. It lives in your terminal, reads your actual files, writes code, runs commands, and executes multi-step workflows — all with your permission. Here are 30 concepts you need to understand it properly. No fluff, no hand-holding.

The 30 Concepts

1. The Terminal — Claude Code doesn't …

The AI agent ecosystem is growing fast. Here's a quick directory of notable AI startups and a couple of few-shot LLM models worth knowing about. Two lines each — just enough to know what they do and why they matter.

AI Agent Directory

Can of Soup — An AI-powered app that lets …