Level up LLM applications development with LangChain and OpenAI
Level up LLM applications development with LangChain and OpenAI
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 52m | 655 MB
Instructor: Sandy Ludosky
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 52m | 655 MB
Instructor: Sandy Ludosky
Dive into the world of large language models (LLMs) with a focus on integrating them into practical applications utilizing OpenAI APIs. Discover how to enhance LLMs with retrieval components, deploy interactive chat applications, and construct multi-retriever agents for advanced data handling.
Join instructor Sandy Ludosky to gain the skills to create intelligent agents capable of performing complex tasks, from semantic searches to question-answering chatbots, significantly enhancing user experiences. Whether you're aiming to innovate in your current role or embark on new AI projects, this course provides the foundational knowledge and practical skills needed to harness the power of LLMs effectively.
Learning objectives
- Learn how to interface easily and efficiently with large language models (LLM).
- Learn how to add a retrieval-augmented generation (RAG) module.
- Deploy LangChain chains as a REST API with LangServe.
- Deploy to the cloud with Replit and Streamlit.
Level up LLM applications development with LangChain and OpenAI
