Generative AI & LLM
What You Will Learn • Core Foundations: Master the internal mechanics of LLMs, including tokenization, embeddings, and the revolutionary Transformer architecture. • Prompt Engineering: Learn advanced prompting techniques like Chain-of-Thought, Few-Shot prompting, and system role definition to maximize output quality. • App Development: Build functional AI applications by integrating LLMs with external tools using LangChain and LlamaIndex. • Advanced Architecture: Implement Retrieval-Augmented Generation (RAG) to connect models to private vector databases for highly accurate, custom data retrieval. • Fine-Tuning & Evaluation: Understand how to adapt foundational models using Parameter-Efficient Fine-Tuning (PEFT/LoRA) and evaluate their safety and performance.
Data Strucutes and Algorithms
Data Strucutes and Algorithms