Part 4/6:
Two prominent frameworks discussed in the session are LangChain and LlamaIndex. Both serve as foundational platforms for deploying AI models, facilitating tasks like prompt engineering, application deployment, and integrating AI into real-world solutions.
LangChain focuses on building applications that leverage language models, offering extensive tools for managing prompts and conversational AI workflows. It emphasizes the development of complex applications that require multi-step reasoning or interaction.
LlamaIndex, on the other hand, provides a streamlined framework to connect large language models with data sources, enabling more efficient retrieval and question-answering functionalities.