Introduction to Basics LLM Models

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Explore LLMs with hands-on training in NLP, neural networks, clustering, classification, and model evaluation.


What you will learn

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Explain the architecture, capabilities, and applications of Large Language Models (LLMs).

Build and evaluate machine learning models including KNN, decision trees, and clustering algorithms.

Apply techniques like oversampling, pruning, and regularization to improve model performance.

Implement hands-on projects using real datasets and ML libraries to solve practical problems.

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