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LLM Course is a hands-on, notebook-driven path for learning how large language models work in practice, from data curation to training, fine-tuning, evaluating, and deploying. It emphasizes reproducible experiments: each step is demonstrated with runnable code, clear dependencies, and references to commonly used open-source models and libraries. Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches...

This repository is a comprehensive, tutorial-style guide to JavaScript that walks readers from the language’s fundamentals to practical application in the browser and on the server. It explains core concepts like values and types, scope, functions, objects, and prototypes in a clear, example-driven style that favors short, readable snippets. The material steadily introduces modern features—modules, arrow functions, classes, destructuring, promises, and async/await—while relating them back to...