YoVDO

Building Chatbot Agents from Scratch with OpenAI Functions

Offered By: James Briggs via YouTube

Tags

Chatbot Courses Programming Courses GPT-4 Courses Conversational AI Courses OpenAI Courses GPT-3.5 Turbo Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to build a sophisticated conversational chatbot agent from scratch using OpenAI's Function Calling for GPT-4 and GPT-3.5-Turbo in this comprehensive tutorial video. Explore the process of creating an agent with conversational memory, internal thoughts, and tool-using capabilities. Dive into topics such as OpenAI function calling, generating function instructions, implementing agent code, and adding conversational memory. Gain insights into the inner workings of OpenAI Functions Agent and discover how to create agents that can answer questions with or without tools. By the end of this tutorial, you'll have a solid understanding of building advanced chatbot agents using cutting-edge AI technologies.

Syllabus

OpenAI Functions Agent
Recap of OpenAI Function Calling
How OpenAI Functions Agent Works
Answering Questions Without Tools
Generating Function Instructions
Agent Code
Giving an Agent Conversational Memory
Agent Internal Thoughts
Agent Overview


Taught by

James Briggs

Related Courses

Build Conversational Agents with Vector DBs - LangChain
James Briggs via YouTube
Langchain in JavaScript - Step by Step Introduction
echohive via YouTube
Fine Tune GPT 3.5 Turbo in Python - Step by Step Instructions for Entire Process
echohive via YouTube
Fine-Tuning GPT-3.5 Turbo for Complex Tasks with Minimal System Messages
echohive via YouTube
Mastering Fine-Tuning - A Crash Course on Fine-Tuning GPT-3.5 Turbo
Data Science Dojo via YouTube