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GPT-4 Foundations: Building AI-Powered Apps

Posted By: IrGens
GPT-4 Foundations: Building AI-Powered Apps

GPT-4 Foundations: Building AI-Powered Apps
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 2m | 131 MB
Instructor: Denys Linkov

Are you looking for a practical, simple, visual introduction to creating an AI-powered application? This course was designed for you. While GPT-4 has piqued much of the world’s attention, few people have developed the skills required to build their own AI-powered tools.

Join instructor Denys Linkov to find out more about how to get started building AI-powered applications using GPT-4. In this course, Denys offers a comprehensive overview of the OpenAI playground, including the basics of large language models and prompts. Get tips for beginner, intermediate, and advanced prompting to start creating a no-code chatbot on your own. Along the way, test out your new skills in the challenge exercises provided at the end of each section of the course.

Learning objectives


  • Explain the purpose and functionality of ChatGPT and GPT-4, and identify their common characteristics as large language models.
  • Describe how large language models like GPT-4 are trained on data, their origins, and the significance of the Transformer model.
  • Apply the concept of prompting to interact with GPT-4 for various purposes such as generating jokes, solving math problems, and historical queries.
  • Develop effective prompt techniques for creating content, including instructional prompts to modify responses.
  • Formulate prompts to extract structured data from free text using key-value pairs.
  • Classify user inputs and use context to improve the responses and maintain a natural conversational flow in a chatbot application.
  • Create a multi-prompt chatbot application using techniques such as prompt chaining to handle complex tasks in sequences.
  • Design and implement a custom user interface for a GPT-4 powered chatbot using tools like Voiceflow.
  • Integrate and deploy a conversational AI assistant on a website, ensuring it meets specified requirements for interaction and information retrieval.
  • Evaluate chatbot interactions to ensure they meet user objectives and provide accurate responses, enhancing user experience.



  • GPT-4 Foundations: Building AI-Powered Apps