Mastering LLMs & Model Fine-Tuning with Hugging Face

14-day course (must be completed within 90 days) This comprehensive program will immerse you in the fascinating world of Large Language Models (LLMs) and the Hugging Face ecosystem, equipping you with the skills to handle cutting-edge NLP projects. Key Learnings: - Course Introduction: Begin with the transformative impact of LLMs and the pivotal role Hugging Face plays in modern NLP. NLP Fundamentals: Revisit essential NLP concepts and track the evolution of technologies leading to LLMs. - Transformer Architecture: Gain a deep understanding of Transformer models and their revolutionary self-attention mechanisms. - Large Language Model Survey: Discover the capabilities and applications of leading models like BERT, GPT, and RoBERTa. - Hugging Face Ecosystem: Navigate the powerful tools and libraries offered by Hugging Face, including Transformers and Datasets. - Development Environment Setup: Quickly set up your environment to begin experimenting with pre-trained models. - Transfer Learning Fundamentals: Learn how transfer learning accelerates model development and improves outcomes. - Data Preparation: Prepare your datasets effectively for fine-tuning, covering data cleaning and preprocessing. - Tokenization Techniques: Master the art of tokenization, including managing special tokens for optimal model input handling. - Fine-Tuning Models: Obtain hands-on experience in fine-tuning pre-trained models for specific NLP tasks. - Performance Evaluation: Evaluate your models using key metrics and enhance their effectiveness. - Optimization and Troubleshooting: Optimize your models through hyperparameter tuning and resolve common performance issues. - Model Deployment and Sharing: Explore how to deploy your models, share them via APIs, and utilize the Hugging Face Hub for wider distribution. Step into the future of language processing with us—harness the power of LLMs and Hugging Face to transform your projects!