YoVDO

Langchain Async Explained - Make Multiple OpenAI ChatGPT API Calls at the Same Time

Offered By: echohive via YouTube

Tags

LangChain Courses ChatGPT Courses Parallel Computing Courses

Course Description

Overview

Explore asynchronous support in Langchain to make multiple parallel OpenAI GPT-3 or GPT-3.5-turbo API calls simultaneously, significantly speeding up applications. Discover how to implement async support for LLM calls, chain calls, and agent calls with tools like Google Search. Learn about requirements, installation, and practical implementation through step-by-step demonstrations. Gain insights into the benefits and considerations of using async calls, including potential extra token costs. Access code files, join the echohive community, and explore related resources to enhance your understanding of Langchain's async capabilities.

Syllabus

Why Async and DEMO
Relevant links
Requirements and installation
Langchain async chatgpt llm calls
Langchain async chain calls
Langchain async agent calls
Final thoughts


Taught by

echohive

Related Courses

ChatGPT et IA : mode d'emploi pour managers et RH
CNAM via France Université Numerique
Generating New Recipes using GPT-2
Coursera Project Network via Coursera
Deep Learning NLP: Training GPT-2 from scratch
Coursera Project Network via Coursera
Data Science A-Z: Hands-On Exercises & ChatGPT Prize [2024]
Udemy
Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize
Udemy