LLMs (Large Language Models)
Foundation models like GPT-4, Claude, and Gemini that power AI assistants, copilots, and generative features across every industry.
Large Language Models are neural networks trained on vast text corpora that can generate, summarize, classify, and reason over text. They underpin products from ChatGPT to GitHub Copilot and are now embedded in workflows across engineering, marketing, legal, and finance. Understanding how to work with LLMs — calling APIs, managing context windows, handling hallucination, and evaluating outputs — is rapidly becoming a baseline expectation for engineers at AI-forward companies.
Typical time to job-readiness: ~2 months.