LLM (Large Language Model)
A neural network trained on huge amounts of text — capable of understanding and generating human language.
What is LLM (Large Language Model)?
A Large Language Model is a transformer-architecture neural network trained on hundreds of billions of words. It learns the statistical patterns of language well enough to produce coherent text, answer questions, write code, summarise documents, and follow instructions.
LLMs are NOT databases of facts — they are pattern completers. When asked "what is the capital of India?", an LLM does not look up an answer; it generates the most likely next words ("Delhi") based on patterns from training. This is why they sometimes hallucinate confidently incorrect facts.
The most-used LLMs in 2026 production work are OpenAI's GPT-4o, Anthropic's Claude (Opus, Sonnet, Haiku), and open-weight models from Meta (Llama) and Mistral. Most Indian product companies use Claude or GPT via API rather than running models themselves.
LLMs power virtually every Gen AI product in 2026. If you can prompt them effectively, build RAG systems on them, and design agents using them, you sit at the highest-paying intersection of Indian engineering hiring.
A Hyderabad law-tech startup uses Claude to summarise 200-page contracts into 1-page risk reports for SME clients. The same workflow that took a junior lawyer 4 hours now takes 30 seconds and costs ₹2.
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