RAG vs Fine-Tuning: When to Use Which
RAG supplies knowledge, fine-tuning shapes behaviour. A decision table, the cost and latency trade-offs, and the mistake that costs LLM projects months.
LangChain vs LangGraph: A Practical Comparison
One composes pipelines, the other manages control flow. When each earns its place, why AgentExecutor gave way to graphs, and when to skip frameworks entirely.
AI Engineer Salary in Pune: The 2026 Guide
What AI engineers actually earn in Pune by experience level and role — and what decides whether you land at the bottom or the top of a band.
AI Engineer vs Data Scientist: Which Career Should You Choose?
Two roles that sound similar but involve genuinely different work. Daily reality, skills, pay, and how to switch between them.
How to Become an AI Engineer With No Coding Background
A realistic route in from a non-technical background: the learning order that works, how much maths you need, and what six months can honestly achieve.
What we write about
Three things, all aimed at people actually trying to get into the field rather than at search engines:
- Technical — RAG, agents, evaluation, deployment: how the systems actually work, including when not to use a tool.
- Careers — what roles pay, what employers ask for, and how the market is shifting.
- Getting started — realistic routes in, especially from non-technical backgrounds.
If there is something you want covered, message us — reader questions are where most of these come from.