Understanding the significance of local models in security is crucial for data and AI engineers. This lesson covers the entire process of building and fine-tuning large language models (LLMs), emphasizing data preparation, tokenization, and embedding techniques. Participants will learn how to effectively train models using libraries like Pyit Learn and explore the security implications at each phase of model development, making it ideal for those focused on cybersecurity applications.