
Clarify the difference between ChatGPT and OpenAI, noting that ChatGPT is an artificial intelligence language model and chat app from OpenAI, a research organization also offering DALL-E and Whisper.
Clarify key buzzwords and define ai models, then examine training data, time, GPUs, cost, and tokens, while noting hallucinations and how ChatGPT uses tools, plugins, and MCP servers.
Explore AI, machine learning, deep learning, and GenAI as nested circles, with neural networks powering deep learning and generative capabilities like translation.
Explain what GPT stands for in ChatGPT and how a pre-trained and fine-tuned generative transformer processes natural language to generate text.
Explain AI model limitations, including hallucinations, training cutoffs, and bias, showing why plausible outputs can be wrong and how researchers reduce these issues over time.
learn how to install postman, understand freemium pricing, choose browser or standalone app, create an account, set up workspaces, and apply a dark theme.
Learn to call the chat completion endpoint of the ChatGPT API using a POST request, supply model and messages in JSON, and troubleshoot errors to obtain a 200 OK response.
Store your OpenAI API key in a Postman collection, configure bearer token authorization, and test the get models endpoint to verify GPT-3.5-turbo availability in JSON.
Learn how completions drive AI text generation across tasks, including chat, general text, and code completions, with examples like blog titles, translations, and summaries.
Learn how gpt-3.5-turbo powers chat completions and versatile tasks like email writing, translating text, JavaScript coding, and summarization. Configure interactions with system, user, and assistant messages for effective API use.
Explore GPT-4 versus GPT-3.5, including its chat and completion capabilities, API access, billing differences, and how to swap in Postman.
This lecture discusses the differences between the GPT-3.5 model and GPT-4.
Explore text completions with the text davinci 003 model, including prompts for titles, translations, and summaries. Practice calling the completions endpoint via Postman and simulate conversations.
Compare gpt-3.5-turbo and text-davinci-003; turbo is cheaper and a good starting point, while davinci-003 offers fine-tuning and traditional completions.
Learn to instruct a model with examples to build a pizzeria chatbot using system messages and conversation history, guiding GPT-3.5 Turbo through a fixed menu and Postman chat completions.
Learn to configure the stop property to halt model generation when a token is detected, with examples using tokens like 4. and newline in Postman.
Learn how ChatGPT Work turns AI from a chat tool into a task-performing agent that reads and writes files, edits documents, and automates work across browser and desktop apps.
Learn to build automated inbox workflows with Codex using plugins, creating daily brief summaries from Outlook emails and scheduling prompts to run every weekday at 7 a.m.
Understand how agent skills enforce consistent behavior by packaging prompts and optional scripts, loaded on demand, invoked via forward slash, and how Codex skills extend capabilities like Outlook integration.
Codex can control your entire computer across apps by enabling computer use, using accessibility features and screenshots, with parallel sessions and app-specific prompts like Chess or Numbers.
Please note that this course is not affiliated with or endorsed by OpenAI. OpenAI is not responsible for the content or delivery of this course. Any references made to OpenAI are purely for informational purposes and do not imply endorsement or affiliation with OpenAI.
Unlock the power of artificial intelligence in your applications with this comprehensive course on the OpenAI API and ChatGPT API. With the rapid advancements in AI technology, it's more important than ever to stay ahead of the curve and harness these cutting-edge tools for your projects.
In this course, you'll dive deep into the world of AI-powered APIs, learning about the capabilities of OpenAI's suite of models, including GPT-3.5, GPT-4, DALL-E, and Whisper. Whether you're a seasoned developer or just starting out, our step-by-step guide will help you navigate the complexities of AI integration.
By enrolling in this course, you will:
Gain a solid understanding of API fundamentals and their role in modern applications.
Learn how to register for API access with OpenAI.
Explore the differences between ChatGPT and OpenAI.
Work with the AI models behind ChatGPT: GPT-3.5 and GPT-4
Familiarize yourself with tools like Postman and key concepts such as HTTP and JSON.
Get hands-on experience using OpenAI models for tasks like text completion, code generation, image generation, and speech recognition.
Master prompt design and learn how to control model behavior with techniques like adjusting temperature, setting stop sequences, and configuring for creativity.
Understand tokens and pricing to optimize usage and manage costs effectively.
With engaging examples and practical exercises, you'll develop the skills to implement AI-driven features in your projects, creating innovative and intelligent solutions that will set you apart from the competition.
Don't miss this opportunity to elevate your development skills and unlock the potential of AI. Enroll in this course today and take the first step toward a future powered by cutting-edge AI technology.
Legal Disclaimer
This course is an independent educational resource and is not endorsed by, affiliated with, or associated with OpenAI, L.L.C., or any of its products or services. OpenAI, ChatGPT, and related marks are trademarks of OpenAI, L.L.C. All product names, logos, and brands mentioned in this course are the property of their respective owners.
This course contains promotional materials.