On 13 May 2024, OpenAI announced a new AI model called GPT-4o; it is the updated model of GPT-4, which was almost launched 1 year before.
What it is
- GPT-4o is a recent advancement in large language models by OpenAI.
- It builds on the capabilities of its predecessor, GPT-4, by incorporating multimodal understanding.
- This means it can process and respond to information across different formats: text, code, and video (images for now).
Key features of GPT-4o
- Multimodal capabilities: Highlight that GPT-4o isn't restricted to text. It can understand and respond to prompts that include images and video.
for example, a user uploading a video of their code and GPT-4o explaining what the code does and how to errors if code has. - Efficiency: Briefly mention that GPT-4o is faster and more cost-effective than its predecessors.
Interactive Design Assistant
Imagine a designer working on a website. They could upload a sketch of their layout and ask GPT-4o to:
- Generate code: GPT-4o could analyze the sketch and create the corresponding HTML and CSS code to bring the design to life.
- Suggest improvements: Based on design principles and user experience best practices, GPT-4o could recommend changes to the layout or color scheme.
Real-time Accessibility Checks
A streamer or video creator uploads their latest video. GPT-4o analyzes the video and:
- Generates captions: It creates accurate captions for the video, making it accessible to deaf or hard-of-hearing viewers.
- Identifies visual elements: It can highlight objects or scenes in the video and describe them with text, aiding visually impaired viewers.
Educational Assistant with Multimodal Learning
A student is studying a complex biological concept. They can provide GPT-4o with a text description and:
- GPT-4o generates a relevant image: It might create a 3D model of the biological structure the student is studying.
- It can point to videos or simulations: These can help the student visualize the concept in action. Enhanced Customer Service Chatbots:
A customer is having trouble with their online order. They can describe the issue through text chat, and GPT-4o can:
- Analyze the customer's message: It understands the sentiment and identifies the specific problem.
- Offer solutions: It can suggest troubleshooting steps or connect the customer with the appropriate support agent.
- If an image is included: For example, a picture of a damaged product, GPT-4o can use that information to expedite the resolution process.
These are just a few examples, and the possibilities are vast. As GPT-4o continues to develop, we can expect even more innovative real-time applications to emerge.
Focus on Applications
- Engaging Content Creation: This model's ability to understand different formats can be a boon for content creators.
- They can use GPT-4o to generate content that combines text, images, and even video elements.
- Enhanced User Experience: For applications like chatbots or virtual assistants, GPT-4o's multimodal capabilities can provide a more natural and interactive experience.
- Users can provide information through text, images, or speech, and GPT-4o can understand and respond accordingly.
- Improved Code Analysis: Briefly mention its potential in assisting programmers, like the example from the YouTube video where GPT-4o analyses code.
Note. it's still under development, and public access is limited
----------------------
Subscribe on YouTube
