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Series
In this series, we will be discussing mostly about Applied AI. Applied AI is a new job role where you aren't expected to know everything about AI, but you should be able to work between the intersection of Software Engineering and AI. You should be able to employ AI to build AI enabled applications and you should understand basics of LLM concepts & Prompt engineering.
Technically it's not a new role, however it's new compared to other software roles. If you are in an engineering college then this term is totally relevant for you. Software industry is evolving and a
Everyone uses these terms. Nobody actually explains them properly. If you're just getting into AI, you've probably noticed people say "AI" when they mean ChatGPT, "ML" when they mean AI, and "LLM" whe
In the last post, we covered what LLMs are. Massive models, trained on text, that predict the next token. But that description doesn't really tell you what's happening inside. What does the model actu
Spend any time around AI in 2026 and you hit a wall of vocabulary - tokens, embeddings, parameters, quantization, RAG, MCP - dropped into release notes and API docs with no definitions attached. This
You can build a real LLM-powered project in 2026 without paying a rupee, if you know which providers hand out a genuine free tier and not just a 30-day trial that dies on you. This is the shortlist of
