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Code-along ↗Chat with Your Documents Using GPT & LangChain
In this code-along, Andrea Valenzuela, Computing Engineer at CERN, and Josep Ferrer Sanchez, Data Scientist at the Catalan Tourist Board, will walk you through building an AI system that can query your documents & data using LangChain & the OpenAI API.
Andrea Valenzuela, Josep Ferrer
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Tutorial
Building a GPT Model with Browsing Capabilities Using LangChain Tools
A tutorial on integrating Google SERP, DuckDuckGo, Wikipedia, and YouTube into GPT models using Python and LangChain tools.
Andrea Valenzuela · 14 min
programação conjunta
Building AI Applications with LangChain and GPT
In the live training, you'll use LangChain to build a simple AI application, including preparing and indexing data, prompting the AI, and generating responses.
Emmanuel Pire
programação conjunta
Introduction to Large Language Models with GPT & LangChain
Learn the fundamentals of working with large language models and build a bot that analyzes data.
Richie Cotton
A killer application of large language models (LLMs) is answering questions about specific documents & datasets. This enables use cases such as customer service bots, question-answering systems about specific domains, & LLMs that can navigate data tasks.
In this code-along, Andrea Valenzuela, Computing Engineer at CERN, and Josep Ferrer Sanchez, Data Scientist at the Catalan Tourist Board, will walk you through building an AI system that can query your documents & data using LangChain & the OpenAI API. Throughout the code-along, they will share best practices for effectively loading & storing documents using LangChain, building a retrieval augmented generation pipeline for querying data, and building a question-answering bot.
Key Takeaways:
Additional Resources
Andrea’s Code Along from 2023 - [CODE ALONG] Optimizing GPT Prompts for Data Science
A tutorial from Andrea on Chatbots - [TUTORIAL] Building Context-Aware Chatbots: Leveraging LangChain Framework for ChatGPT
[TUTORIAL] A Beginner's Guide to Using the ChatGPT API
[SKILL TRACK] OpenAI Fundamentals