Understanding GPT models
1. Understanding GPT models
Hello and welcome!2. What to expect:
Has your company created an artificial intelligence (AI) assistant? Does your device or software already have one? Would you like to gain confidence in using this tool? You've come to the right place. This course is about AI assistants powered by something called GPTs. I'm Jasmin, a Data Science and AI content developer at DataCamp. I've helped develop and create several courses and projects in our AI curriculum. Together, we'll learn about GPTs and how to safely use these tools with real-life examples. No prior knowledge is needed.3. Using GPT
Imagine we're short on time but have some documentation to read that would take 30 minutes. We already have a GPT tool on our device, and we write a prompt asking it to summarize the document.4. Using GPT
Now, it will only take us five minutes to read the summary and understand the key takeaways from the document. Job done, and time saved!5. GPT-powered tools
Using these tools responsibly starts with understanding what a GPT model is. A model is a set of rules written in code that performs calculations or other problem-solving operations. You may know popular GPT-powered tools, like OpenAI's ChatGPT or Microsoft's Copilot. These tools use GPT models to answer questions or perform tasks based on user-inputted text. This user-inputted text is known as a prompt.6. The GPT model
Since its introduction in 2018,7. The GPT model
OpenAI's GPT model has been widely adopted in8. The GPT model
AI applications and tools that enhance productivity.9. Generative pre-trained transformer
GPT stands for Generative Pre-trained Transformer. It is a large language model, which is a model that can understand and generate human-like text based on similar patterns it has already seen and learned from.10. Generative pre-trained transformer
Let's break this down. Generative means these models create new content, such as text or images. This process is broadly known as generative AI.11. Generative pre-trained transformer
Pre-trained means they have already learned from a lot of data. Since we need a lot of data to build a good model, the data usually comes from publicly available sources where the datasets are big enough.12. Generative pre-trained transformer
Transformer is the name of the underlying model structure. We won't need to understand this structure in depth, but we should know that these structures specialize in working with and understanding text and are essential to recent advances in generative AI.13. GPT capabilities: summarize
GPT models are great at summarizing text,14. GPT capabilities: generate
generating15. GPT capabilities: generate
new text,16. GPT capabilities: translate
or transforming text, such as altering the tone or translating into another language. We'll see these and more in action later in the course.17. GPTs in business
Some business have banned the use of public GPT tools such as ChatGPT and have instead developed their own GPT-powered AI tools to18. GPTs in business
empower their employees.19. GPTs in business
These custom GPT tools differ from the more popular GPT tools20. GPTs in business
as they have been designed to offer21. GPTs in business
greater privacy and security.22. GPTs for personal use
Other GPT tools are available for personal use pre-installed on devices and applications, such as Google's Gemini or Apple's Intelligence. This course will focus on these business and personal use tools.23. Let's practice!
Next, we'll learn more about how these GPT tools can work for us. But first, let's practice.Create Your Free Account
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