Building Intelligent Applications with ChatGPT

From prompts, questions, and sentiments, everything you wanted to learn about ChatGPT

Duration

5 Days

Level

Intermediate Level

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This course is designed to help Python developers learn how to build intelligent applications using ChatGPT, a large language model trained by OpenAI, based on the GPT-3 architecture. Through a series of hands-on exercises and projects, you’ll learn how to use ChatGPT to create chatbots, automated question answering systems, and other natural language processing applications. By the end of the course, you’ll have the knowledge and skills necessary to build your own intelligent applications using ChatGPT.

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Introduction to ChatGPT

Overview of ChatGPT and its capabilities
Installing and setting up the environment
Generating text using ChatGPT
Understand the fine-tuning concepts using ChatGPT for a specific task

Building a Chatbot

Overview of chatbot architecture
Designing a conversation flow
Training the chatbot using ChatGPT
Deploying the sample chatbot

Automated Question Answering

Overview of question answering systems
Collecting and preprocessing data
Fine-tuning ChatGPT for question answering
Evaluating the performance of the system

Sentiment Analysis

Overview of sentiment analysis
Preprocessing text for sentiment analysis
Training ChatGPT for sentiment analysis
Evaluating the performance of the system

Building an End-to-End Application

Putting it all together: Build a real-world project with GPT-3, ChatGTP, GPT-4, DALL-E and Whisper
Deploying the application
Best practices and future directions

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Building Intelligent Applications with ChatGPT

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