Writing
77+ articles by Deep Parmar on prompt engineering, context engineering, LLM production systems, browser-native AI, computer vision, and building AI products in India — written from shipping real systems, not theory.
The Index
Prompt engineering is the art of communicating intent to a language model. In 2026 — with newer models like Claude Fable 5 — it's shifting from controlling the model to collaborating with it. Here's the practical guide.
LoRA and QLoRA let you adapt a large model cheaply by training a small set of extra adapter weights instead of the whole model. QLoRA adds quantisation so it fits on a single consumer GPU.
You can run capable open models entirely on your own machine using tools like Ollama or LM Studio — private, offline, and free per use — if you have enough RAM or VRAM.
A voice AI agent is a pipeline — speech-to-text, an LLM brain, text-to-speech, and turn-taking logic. Latency, not raw intelligence, is what makes or breaks it.
In 2026 the model market has fractured — there is a best coder, a best reasoner, a best open-source model, and a best value model, and they are different systems. You choose by task, not by brand.
To be cited by AI engines, structure each page so it is the cleanest quotable answer — answer the question fully in the first 150 words, add FAQ schema, publish original data, and earn third-party mentions.
A production AI agent is an LLM wrapped in a controlled loop — tools, a clear task, a termination condition, guardrails, memory, and evaluation. The engineering is mostly in everything around the model.
Agriculture AI in India is quietly working where it is simple and local — pest and disease detection from a phone photo, vernacular crop advisory, price and weather alerts — not in flashy autonomous farms.
In India, the healthcare AI that works today is unglamorous — imaging assistance, triage support, documentation, and vernacular access. "AI replaces doctor" is still hype.
India's DPDP Act 2023 is in force. If your business or your AI tools process customers' personal data, you have concrete legal obligations — and AI makes several of them harder to meet by default.
Expect AI to get more useful, more boring, and more invisible — woven into ordinary tools — not a sudden sci-fi takeover by conscious machines.
Showing 12 of 77 posts
By Date
All 77 articles, newest first.
