Overview over GPT’s: A Comprehensive

Overview over GPT's: A Comprehensive Guide!

OpenAI has introduced custom GPTs, which are tailored versions of ChatGPT designed for specific purposes. These custom GPTs allow users to create AI agents without the need for coding. They can be used for various tasks such as web browsing, accessing external services, and analyzing data. The custom GPTs are available for ChatGPT Plus and Enterprise users, and they can be created for personal use, internal company use, or for broader applications. OpenAI's goal is to involve the community in shaping AI behavior and to make AI more accessible to a wider audience. The custom GPTs are part of a suite of new features and updates, including the GPT-4 Turbo model, the Assistants API, and multimodal capabilities, such as vision, image creation (DALL·E 3), and text-to-speech (TTS).

The featured image is created with a custom GPT called Portrait Cartoonator, which you can find here:

https://chat.openai.com/g/g-BVAcMP7wX-portrait-cartoonator

Portrait Cartoonator

I will review a lot of these new Custom GPT's so come back and watch this space.

Creating a custom GPT (Generative Pre-trained Transformer) model, involves several key steps. Here's a simplified overview:


Understanding the Basics of Creating a Custom GPT!

Imagine you have a super smart robot that can write just like a human. This robot is what we call a GPT, or Generative Pre-trained Transformer. It's a type of artificial intelligence, but you can think of it as a very advanced, computerized writer. The cool part about GPT is that it learns how to write by reading a lot of stuff written by humans. It's like how you learn to speak better by listening to others talk. It reads books, articles, conversations, and all sorts of texts, and then it learns to create its own sentences that sound just like something a person would write.

Now, what can this robot writer do? Quite a lot! Depending on how we teach it, it can write stories — maybe even a fairy tale or a science fiction adventure. It can answer your questions, kind of like a super-smart friend who knows a lot of stuff. Have you ever wanted to chat about something but didn't have anyone to talk to? GPT can simulate a conversation, chatting with you about various topics. The exciting part is that we can train this GPT to be good at specific things. If we feed it lots of science books, it becomes great at talking about science. If we give it lots of recipes, it might help us cook. The possibilities are pretty amazing, and it all depends on what we teach our clever robot friend.

Setting the Goals for Your GPT

Let's say you're planning to build a special robot friend, this time with a specific job in mind. This is like setting a goal for your custom GPT, or our clever robot writer. You need to decide exactly what you want this robot to be good at. For example, you might want it to give health advice to seniors, helping them understand what to eat or how to stay fit. Or, maybe you want it to tell amazing historical stories, taking you back in time with tales of knights and castles. This goal-setting step is super important because it tells your robot exactly what it should learn to do well.

Once you've set a goal, you then figure out how much and what kind of stuff your robot needs to learn. This is like defining the ‘scope'. If your goal is to give health advice, your robot needs to read lots of health-related books and articles, so it understands enough to be helpful. If it's telling historical stories, it needs to dive into history books and documentaries. Think of it as setting up the right school curriculum for your robot. The better and more focused the learning material, the smarter your robot will be in that particular area. It’s like training a new employee to be great at their specific job by teaching them exactly what they need to know.

Collecting Data

Think of your GPT robot as a student getting ready for a big exam. Just like a student gathers notes and textbooks to study, you need to collect lots of texts for your GPT to learn from. This process is called ‘Data Collection'. If your robot is going to give health advice, you need to give it a bunch of good health-related stuff to read. This could include medical articles, frequently asked questions about health, and guides on staying healthy. It's like preparing a big, diverse library for your robot to study from.

Now, it's not just about how much information you give your robot, but also about the quality and variety. Imagine if a student only studied from one book for their exam, and that book had some wrong information or didn't cover everything. They wouldn't do very well, right? The same goes for your GPT. You have to make sure the texts are good, accurate, and cover different viewpoints and information. This is because whatever your robot reads, it's going to use to learn and then help others. If the information is biased or incomplete, your robot's advice might not be as good or fair. So, gathering the right data is like giving your robot the best and most well-rounded education you can. Collect that data as PDFs.

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