Programa con nosotros en
Code Along ↗Building Multimodal AI Applications with LangChain & the OpenAI API
Combine the power of text and audio AI models to build a bot that answers questions about YouTube videos.
Korey Stegared-Pace
Crea tu cuenta gratuita
Practica y programa tu progreso.
Continuar con GoogleAl continuar, aceptas nuestra Términos de uso, nuestros Política de privacidad y que tus datos se almacenen en EE. UU.Relacionado

Tutorial
How to Build LLM Applications with LangChain Tutorial
Explore the untapped potential of Large Language Models with LangChain, an open-source Python framework for building advanced AI applications.
Tutorial
Building LangChain Agents to Automate Tasks in Python
A comprehensive tutorial on building multi-tool LangChain agents to automate tasks in Python using LLMs and chat models using OpenAI.

Tutorial
How to Build User Interfaces For AI Applications Using Streamlit And LangChain
Learn to build AI chatbots with Streamlit, LangChain, and Neo4j. This tutorial covers creating UIs for LLM apps, implementing RAG, and deploying to Streamlit Cloud.



Generative AI makes it easy to move beyond simply working with text: other media like audio and images can now be easily analyzed or generated. In this code-along, you'll learn how to transcribe YouTube video content with the Whisper speech-to-text AI and then use GPT to ask questions about the content.