Are you always curious and excited about the new innovations and launches coming up in the AI sphere? So are we, and ever since OpenAI rolled out its latest GPT-4o model, we can’t wait to try it out! While the new model is accessible to limited users right now, we couldn’t help but find out about all of its features and capabilities. In this blog, we will explain everything you need to know about the GPT-4o model, its advanced features and functionalities, and use cases, and we will also compare it with the previous GPT 4 model. So what are you waiting for? Let’s get started!
What is GPT-4o?
GPT-4o is the newest AI model launch from OpenAI, the company that has previously introduced the robust ChatGPT models that we are all familiar with. GPT-4o is the successor of GPT-3, GPT-3.5, GPT-4, and GPT-4 Turbo. For GPT-4o, ‘O’ stands for ‘omni’, and it refers to its multimodal capabilities that set the latest model apart from its predecessors. GPT-4o can accept text, image, and audio inputs, and also respond with text, visual, and audio outputs. This feature can change the landscape of AI technology and give impetus to more advanced AI models.
Furthermore, OpenAI has announced that GPT-4o will also be available to free ChatGPT users for the first time ever, although with limited features. Not only is it said to be faster than its predecessors, but it will also be cheaper. It is currently being rolled out in batches to limited users, but we cannot wait to access and explore it soon!
How Does GPT-4o Work?
Now, let us explore the technology that goes behind the GPT 4o model and how it is different from the previous GPT models.
1. Following the GPT (Generative Pre-trained Transformer) Model
Just like its predecessors of GPT models, GPT-4o works on a similar model with some modifications. This framework uses deep learning to train the model on a large amount of unstructured data before fine-tuning it to perform its distinct tasks like text training, question answering, etc. The previous GPT models were test-trained with huge amounts of data, but the new GPT-4o model has also been fed a huge number of images and thousands of hours of audio to provide a better customized and accurate output.
This framework takes credit for the enhanced features of GPT-4o that can catch most parts of long and complicated prompts, solve complex math problems, and also understand a combination of text, image, and audio input and provide output through any one of these forms. We will discuss the capabilities of GPT 4o in detail later.
2. Works on a Single Neural Network
Neural network models are important for the smooth functioning of AI models. These neural networks absorb the training data and learn to fine-tune and improve their accuracy to make intelligent decisions with limited human assistance. All the previous GPT versions had separate models that were trained on different data types. However, in their latest announcement, OpenAI mentioned that GPT-4o works on a single neural network that was trained on text, image, and audio inputs.
3. A Fine-tuned Model
For any AI model, fine-tuning is essential to make sure it performs its designated purpose. Often, when models are not fine-tuned properly, they might fail to provide the desired output or even give incoherent results. To tackle this issue, OpenAI has used human guidance so that it is safe to use and may give useful results.
GPT-4o: Navigating its Capabilities
Let us explore the various advanced capabilities of GPT 4o:
GPT-4 vs GPT-4o: Features Face-off
Features | GPT-4 | GPT-4o |
---|---|---|
Launched on | March 14, 2023 | May 13, 2024 |
Knowledge Base | September 2021 | October 2023 |
Average Response Time | Around 60 seconds | 320 milliseconds |
Input and Output Modalities | Primarily text, with limited visual capabilities. | Text, image, and audio capabilities. |
Multimodal Features | Mostly basic and limited. | Fully multimodal capabilities and can handle text, image, and audio formats. |
Visual Functionality | Basic and limited | High-quality visual and audio features. |
Context Window | 8192 tokens | 128000 tokens |
GPT-4o Use Cases
The introduction of the latest technology and its robust new features opens up a lot of enhancements and changes in the digital landscape. Here are some use cases that we can expect GPT 4o to bring about:
How to Access GPT-4o?
As OpenAI has started rolling out GPT-4o to users around the world, here is how you will be able to access it:
- Mac Computers: A new app was introduced on May 13 for macOS users to access GPT-4o.
- Free Access: OpenAI has promised that even free ChatGPT bot users can access GPT-4o as soon as it is available. However, they will only get limited messaging access to the new model and some advanced features as well.
- ChatGPT Plus Access: Good news for ChatGPT Plus users! They will get complete access to the new model and can try out all the robust and advanced features with no limitations at all.
- API Access: Developers looking to integrate the GPT-4o model into other applications can easily access it from OpenAI’s API.
Limitations and Risks
We must note that GPT-4o, even though it makes tall claims about its multimodal functionalities, is still at a very early and developing stage. In fact, most of OpenAI’s new innovations are a work in progress as their greater goal is to make AI more powerful in the near future. However, this also does not mean that their models are redundant, as new features and advancements are always being rolled out from their end. They also run enough framework tests to check for cybersecurity or any other threats that an AI model may entail, and after fulfilling all the security requirements the AI models are rolled out for the public.
Let us discuss some limitations of GPT-4o.
- Firstly, although it is not as prone to ‘hallucinations’ as its previous models. ‘Hallucinations’ usually occur when an AI chatbot or tool working on LLM is unable to produce suitable outputs according to its training data or doesn’t follow an identifiable pattern. Basically it then ‘hallucinates’ and glitches the output. The new GPT-4o model is not as prone, but users have complained of instances when it couldn’t produce the desired output.
- The model’s knowledge base is limited to events within 2023, and not beyond. So it will be unable to answer queries about the latest facts and events.
- The audio capabilities ensure many exciting functionalities but it also increases the risks of audio deepfake scams.
Final Thoughts
In today’s ever-changing digital landscape, advancements in AI technologies are something to always look forward to. GPT-4o is the latest addition to it, with its multimodal features, set to change and enhance the digital space even more so. With lots of benefits and some limitations, it is still a work in progress, but nevertheless, it is worth looking forward to a future full of novel possibilities.