https://iamulya.one/A blog written by Amulya Bhatia, connecting technical innovations to business wins. 2026-03-17T17:05:06+01:00 Amulya Bhatia https://iamulya.one/ Jekyll © 2026 Amulya Bhatia /assets/img/favicons/favicon.ico /assets/img/favicons/favicon-96x96.png 2026-03-17T13:04:00+01:00 2026-03-17T13:04:00+01:00 https://iamulya.one/posts/securing-autonomous-agents-introducing-nvidia-nemoclaw/ Amulya Bhatia

Autonomous AI agents are transforming how developers work, write code, and interact with tools. Frameworks like OpenClaw have made it incredibly easy to deploy always-on assistants. However, this power introduces a critical challenge: security. Giving an autonomous LLM unfettered access to your local filesystem and network is a recipe for unintended consequences. To bridge the gap between auto...

2026-02-14T13:36:00+01:00 2026-02-15T22:24:18+01:00 https://iamulya.one/posts/agentic-frameworks-and-generative-ui/ Amulya Bhatia

This article is part of my book Generative AI Handbook. For any issues around this book or if you’d like the pdf/epub version, contact me on LinkedIn The era of the “Chatbot”—a simple text-in, text-out interface—has largely ended for professional tooling. We have moved toward Agentic Interfaces and Generative UI (also called Agentic UI). Users no longer want to just talk to an LLM; they w...

2026-02-14T13:32:00+01:00 2026-02-15T22:24:18+01:00 https://iamulya.one/posts/context-engineering-and-rag/ Amulya Bhatia

This article is part of my book Generative AI Handbook. For any issues around this book or if you’d like the pdf/epub version, contact me on LinkedIn A modern LLM doesn’t run on “the prompt.” It runs on a context stack—a structured bundle of inputs that may include: System instructions (identity, rules, safety constraints) Developer instructions (how to behave for this app) User re...

2026-02-14T13:28:00+01:00 2026-02-15T22:24:18+01:00 https://iamulya.one/posts/fine-tuning-and-alignment/ Amulya Bhatia

This article is part of my book Generative AI Handbook. For any issues around this book or if you’d like the pdf/epub version, contact me on LinkedIn A raw “Base Model” (like Llama 4 Base) is like a brilliant but feral child. It has read the entire internet. It knows quantum physics, Python code, and French poetry. But if you ask it a question, it might just stare at you, or continue your ...

2026-02-14T13:24:00+01:00 2026-02-16T00:45:46+01:00 https://iamulya.one/posts/efficient-inference-and-quantization/ Amulya Bhatia

This article is part of my book Generative AI Handbook. For any issues around this book or if you’d like the pdf/epub version, contact me on LinkedIn In the world of training a model is like building a skyscraper: it’s a massive, one-time expense (CapEx). But Inference (actually using the model) is like paying the electricity bill for that skyscraper: it’s a perpetual, daily cost (OpEx). ...