Discover how to fine-tune Llama-2 open-source models for specific applications and use cases in this 49-minute masterclass. Gain hands-on experience in fine-tuning techniques, compare RAG and fine-tuning approaches, and learn best practices for evaluating model performance. Explore the benefits of fine-tuning, including optimizing AI for unique use cases, improving task-specific performance, enhancing privacy and security, and gaining a competitive advantage. Cover topics such as foundation models, ChatGPT's evolution, open-source models, HuggingFace Leaderboard, challenges in fine-tuning, and participate in a live demo and Q&A session. Ideal for engineers, startups, and companies seeking to customize LLMs and implement privacy-preserving AI solutions.