LLMs Workshop: Practical Exercises of Large Language Models
Learn Generative AI & Large Language Models with hands-on exercises. Build practical skills using cutting-edge AI technologies. Perfect for beginners!
Course Content
LLMs Workshop: Practical Exercises of Large Language Models is an all-levels Udemy course taught by Omar Elgendy. It runs 4h 31m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 90 reviews, with 1,710 students enrolled. It is a paid course, last updated April 2025.
Unlock the Power of Large Language Models (LLMs): A Hands-On Workshop
Ready to harness the transformative potential of LLMs? This intensive 4-hour workshop bridges the gap between theory and practice, providing you with the skills to leverage these powerful AI models for real-world applications. Whether you're a data scientist, AI enthusiast, or a professional seeking to expand your skillset, this course is designed for you.
What You'll Learn:
- LLM Fundamentals & Advanced Techniques: Begin with a solid understanding of Large Language Models, exploring their architecture and capabilities. Then, dive into advanced optimization methods like Quantization and LoRA to enhance model performance.
- Practical LLM Exercises: Get hands-on experience using Kaggle datasets in Colab. You'll learn to fine-tune models for tasks like question answering and text summarization using QLoRA. Explore cutting-edge concepts like Retrieval Augmented Generation (RAG).
- Real-World LLM Applications: Work on exciting projects, including building a semantic search engine for movies and developing a chat interface powered by scholarly articles. Apply your newfound knowledge to solve tangible, impactful problems.
- Model Publication on Huggingface: Share your fine-tuned LLMs with the world! Learn how to publish your models on Huggingface, boosting your visibility within the AI community.
Who Should Attend?
This course is ideal for:
- AI Professionals looking to enhance their expertise.
- Data Scientists seeking to integrate LLMs into their workflows.
- Researchers eager to explore the latest advancements in natural language processing (NLP).
- Anyone wanting to deepen their understanding and practical application of Large Language Models.
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