Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Reimagining Recommendation Engines with OpenAI Function Calling, Langchain, and LLMs

Data Centric via YouTube

Overview

Explore a revolutionary approach to recommendation engines in this 17-minute video. Learn how to create a prototype AI assistant that leverages OpenAI's function calling, Langchain's SQL Database Chain, and the Open Weather Map API to suggest personalized travel dates and locations based on preferred weather conditions. Discover the transformative potential of Large Language Models (LLMs) in enhancing recommendation systems, making them more tailored and specific. Gain insights into the technical aspects, potential challenges, and future applications of AI assistants across various service industries. Access additional resources, including a related blog post, a hands-on prototype, and opportunities for further learning and consultation.

Syllabus

Reimagining Recommendation Engines with OpenAI Function Calling, Langchain, and LLMs

Taught by

Data Centric

Reviews

Start your review of Reimagining Recommendation Engines with OpenAI Function Calling, Langchain, and LLMs

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.