Data specialists and Deep learning beginners can join this superb short-term course on Chat with Your Data by Deep Learning AI & LangChain. Check the details below!
About Deep Learning AI
DeepLearning AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. DeepLearning AI has created high-quality AI programs on Coursera that have gained an extensive global following. By providing a platform for education and fostering a tight-knit community, DeepLearning AI has become the pathway for anyone looking to build an AI career.
About LangChain
LangChain is a framework for developing applications powered by language models. It enables applications that are:
- Data-aware: connect a language model to other sources of data
- Agentic: allow a language model to interact with its environment
The main value props of LangChain are:
- Components: abstractions for working with language models, along with a collection of implementations for each abstraction.
- Components are modular and easy to use, whether you are using the rest of the LangChain framework or not
- Off-the-shelf chains: a structured assembly of components for accomplishing specific higher-level tasks
- Off-the-shelf chains make it easy to get started. For more complex applications and nuanced use cases, components make it easy to customize existing chains or build new ones.
Course Highlights
- Learn directly from LangChain creator, Harrison Chase
- Access over 80 unique loaders to handle accessing various data sources using LangChain
- Build your own chatbot to chat directly with information from your own documents and data
Learning Objectives
Join our new short course, LangChain: Chat With Your Data! The course delves into two main topics:
- Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual documents from an external dataset, and
- A guide to building a chatbot that responds to queries based on the content of your documents, rather than the information it has learned in training.
You’ll learn about:
- Document Loading: Learn the fundamentals of data loading and discover over 80 unique loaders LangChain provides to access diverse data sources, including audio and video.
- Document Splitting: Discover the best practices and considerations for splitting data.
- Vector stores and embeddings: Dive into the concept of embeddings and explore vector store integrations within LangChain.
- Retrieval: Grasp advanced techniques for accessing and indexing data in the vector store, enabling you to retrieve the most relevant information beyond semantic queries.
- Question Answering: Build a one-pass question-answering solution.
- Chat: Learn how to track and select pertinent information from conversations and data sources, as you build your own chatbot using LangChain.
- Start building practical applications that allow you to interact with data using LangChain and LLMs.
Who Should Join?
Developers familiar with Python who are interested in developing applications using Large Language Models like ChatGPT
Instructors
Harrison Chase, Co-Founder and CEO at LangChain
How to Join?
Interested candidates can join the course through this link.
Fee
Free for a limited time
