Saltar al contenido principal
InicioProgramando juntosData Science

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.
jun 2023
Code along with us onCode Along

View Slides

Large language models (LLMs) like OpenAI GPT are revolutionizing every industry through their power to generate almost any text you can imagine. LangChain provides a software framework for incorporating LLM-based AI into your applications and data pipelines.

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.

Key takeaways

  • Learn the basics of using LangChain to develop AI applications.
  • Learn how to structure an AI application.
  • Learn how to embed text data for high performance.

Additional Resources

Slides

Temas
Relacionado
Top 7 AI Jobs in 2024

blog

7 Artificial Intelligence (AI) Jobs You Can Pursue in 2024

Explore the top 7 AI careers in 2024, from cutting-edge research to hands-on engineering.

Nahla Davies

15 min

podcast

Data & AI Trends in 2024, with Tom Tunguz, General Partner at Theory Ventures

Richie and Tom explore trends in generative AI, the impact of AI on professional fields, cloud+local hybrid workflows, data security, the future of business intelligence and data analytics, the challenges and opportunities surrounding AI in the corporate sector and much more.
Richie Cotton's photo

Richie Cotton

38 min

tutorial

Python KeyError Exceptions and How to Fix Them

Learn key techniques such as exception handling and error prevention to handle the KeyError exception in Python effectively.
Javier Canales Luna's photo

Javier Canales Luna

6 min

tutorial

Snscrape Tutorial: How to Scrape Social Media with Python

This snscrape tutorial equips you to install, use, and troubleshoot snscrape. You'll learn to scrape Tweets, Facebook posts, Instagram hashtags, or Subreddits.
Amberle McKee's photo

Amberle McKee

8 min

tutorial

Run LLMs Locally: 7 Simple Methods

Run LLMs locally (Windows, macOS, Linux) by leveraging these easy-to-use LLM frameworks: GPT4All, LM Studio, Jan, llama.cpp, llamafile, Ollama, and NextChat.
Abid Ali Awan's photo

Abid Ali Awan

14 min

Programando juntos

Getting Started with Machine Learning Using ChatGPT

In this session Francesca Donadoni, a Curriculum Manager at DataCamp, shows you how to make use of ChatGPT to implement a simple machine learning workflow.
Francesca Donadoni's photo

Francesca Donadoni

See MoreSee More