ChatGPT goes multimodal with voice and images

Updated 26th Sep '23

Multimodal AI: Combining Text, Voice, and Images in AI Systems

Multimodal AI refers to the integration of multiple modes of input, such as text, voice, and images, into an AI system. OpenAI, a leading AI research lab, has been making strides in creating multimodal AI systems by incorporating voice and image support into their models.

ChatGPT Plus: Enhancing Conversations with Voice

OpenAI's ChatGPT is a popular language model known for its text-based conversation capabilities. However, OpenAI has recently introduced ChatGPT Plus, an upgraded version that includes a feature called "Voice." With ChatGPT Plus, users can choose to listen to the model's responses instead of reading them. This new mode of interaction enhances the user experience and makes conversations more engaging.

CLIP: Understanding Text and Images

To further expand the multimodal capabilities, OpenAI has developed a separate model called CLIP (Contrastive Language-Image Pretraining). CLIP is a powerful multimodal model that can understand both images and text. It has been trained on a vast dataset of images and their associated textual descriptions, enabling it to grasp the relationship between visual content and textual representations.

Combining ChatGPT and CLIP for a Multimodal AI Experience

Although ChatGPT and CLIP are distinct models, they can be combined to create a comprehensive multimodal AI system. For instance, CLIP can be utilized to analyze and comprehend images, and the information gleaned from those images can be seamlessly integrated into a conversation with ChatGPT. This integration allows for a more versatile and interactive AI experience.

Future Considerations and Limitations

The integration of voice and images into ChatGPT is still in its early stages, and there may be limitations and challenges that need to be addressed. OpenAI acknowledges the ongoing development required to refine and improve these capabilities. Nonetheless, the progress made so far signifies the potential for creating more sophisticated and interactive AI systems.