Andrew Ng, touted to be one of the Godfathers of AI is back again with a short, free new course, ‘LangChain: Chat With Your Data!’ which will cover Retrieval Augmented Generation (RAG) and building advanced chatbots.
Harrison Chase, cofounder and CEO of LangChain will take you through the course by the end of which, you’ll have the expertise to create practical applications that leverage LangChain and LLMs.
RAG involves using external datasets to retrieve contextual documents, while the chatbot guide emphasises responding to queries based on document content rather than training data.
The key focus areas of the course:
- Document Loading: Understand the basics of data loading and explore over 80 unique loaders available in LangChain. These loaders allow you to access diverse data sources, including audio and video.
- Document Splitting: Learn the recommended practices and considerations for splitting data effectively.
- Vector Stores and Embeddings: Delve into the concept of embeddings and explore how LangChain integrates with vector stores, enabling seamless integration of vector-based data.
- Retrieval: Master advanced techniques for accessing and indexing data within the vector store. This knowledge empowers you to retrieve the most relevant information beyond simple semantic queries.
- Question Answering: Develop a comprehensive question-answering solution that operates in a single pass.
- Chat: Acquire the skills to track and select pertinent information from conversations and data sources. Using LangChain, you’ll build your own chatbot capable of engaging with users effectively.
This course is ideal for Python developers with a passion for harnessing the potential of these cutting-edge technologies.
Previously as well, Ng collaborated with Chase for another course – ‘LangChain for LLM Application Development’ that focused on how to apply LLMs to your data, and build personalised assistants and chatbots.
