What are GPT Models?
OpenAI launched Generative Pre-trained Transformers, or GPTs, in November 2023. GPTs are custom versions of ChatGPT that users can create for a specific purpose or task. Users can also publish and share the GPTs they develop so that others can use them.
The way we interact with machine learning models has changed a lot thanks to GPTs. At first, GPTs were primarily text-based, focusing on general tasks and questions, but now they can do so much more. There are specialized models that cater to different needs, from creative graphic design to research to coding.
Some Examples of GPT Models:
Graphic Design
Models like DALL-E, an offshoot of GPT technology, are used to generate creative and complex images from textual descriptions, revolutionizing graphic design.
Research
GPT models are employed in academic and scientific research to analyze large volumes of text, generate hypotheses, or even write research papers.
Coding
Codex, another GPT variant, understands natural language commands and so assists programmers in writing code, making software development more accessible and efficient.
Music Generation
Udio is a GPT model for generating music. It can create songs in various styles and even simulate the voice styles of specific artists. It can take text prompts or custom lyrics as input and output entirely new music compositions.
The Future Directions of GPT Models
The versatility and expanding capabilities of GPT models suggest a future where AI can seamlessly integrate into many aspects of life in multiple forms. From automating mundane tasks to enhancing creative processes and enabling complex decision-making, the potential for GPTs to reshape industries is immense.
Gemini: A Multimodal AI
We have seen how we can interact with Gemini via its chat interface. However, Gemini has become a standout in the evolution of GPT models. This is because it can also understand and generate content across different forms of data, not just text or images alone. This is called a multimodal AI. This means it can process and synthesize information in ways that mimic human cognitive abilities more closely, such as interpreting complex data from mixed sources—text, visuals, and perhaps even sensory inputs in the future.
Gemini’s development underscores a significant move towards AIs that can think and interact across the boundaries of mode, potentially leading to more intuitive, context-aware, and versatile AI systems that can adapt to various human tasks and environments.
Identify the Capabilities of Multimodal AI
As you watch the video, look out for the following:
- Notice how quickly Gemini switches between tasks. Think about what this suggests about its programming and design.
- Can you identify the different types of input and output used? For example, note how the person might show Gemini drawings and text and how Gemini responds, whether through text or other formats.
After watching the video, take a moment to consider the potential future impact of multimodal AI models like Gemini on various aspects of society. Imagine how this could transform how we learn, communicate, and solve problems.
What new applications can you envision for multimodal AI in your life or future career?
