Microsoft's VISUALChatGPT Takes the Industry By STORM! (NOW UNVEILED!)

Introduction to Visual Chat GPT

In this video, the speaker discusses Microsoft's new tool, Visual Chat GPT, which connects chat GPT to a series of visual Foundation models to enable sending and receiving images during chatting. The speaker provides an overview of the paper and examples of how it works.

What is Visual Chat GPT?

• Microsoft has released a new tool called Visual Chat GPT that connects chat GPT to a series of visual Foundation models.

• This tool allows for sending and receiving images during chatting.

• The paper goes into detail about how this all works.

• It is based on four Foundation models: blip stable Fusion picks two picks control net and some detection.

• It uses iterative reasoning to come up with a final solution.

Examples

• There are many examples available by pasting your OpenAI key in the link provided.

• Examples include generating a cat, replacing the cat with a dog, generating canny edge of an image, generating a yellow dog based on an image, and removing objects from an image.

• These examples showcase the capabilities of Visual Chat GPT.

Conclusion

• Microsoft's Visual Chat GPT is different from gpt4's multimodal feature which will be released soon.

• VFMs (visual foundation models), which allow computers to see by transferring images into text via descriptions, are used in this tool.

Visual GPT Demo

The speaker explores the Visual GPT demo, which generates images based on user input and prompts.

Image Generation

• Users input a basic image and ask Visual GPT to improve it.

• Visual GPT generates a new image based on the user's sketch.

• Unlike traditional prompt image models, users can ask specific questions about the generated image, such as its background color or removing objects from the picture.

Examples

• The speaker clicks an example to generate an image of a cat running in a garden.

• The speaker sends an image of Jack Kilby and asks who he is. Visual GPT describes him as "a man with a suit and tie with glasses."

• The speaker asks Visual GPT to generate an image of a cat running in the garden again, then removes the cat and changes the color of one of the flowers.

Bugs

• The speaker notes that there are some bugs in the software.

Introduction

The speaker discusses the limitations of using chat GPT and visual feature maps (VFMs) in multimodal dialogue.

Limitations of Visual Chat GPT

• Visual Chat GPT has significant limitations, including dependence on chat TBT and VFMs.

• It heavily relies on activity to assign tasks to VFMs and execute them.

• Heavy prompt engineering is required to convert VFMs into language and make model descriptions distinguishable. This process can be time-consuming and requires expertise in both computer vision and natural language processing.

• Limited real-time capabilities.

Conclusion

The speaker clarifies that Visual Chat GPT will not replace GPT4's multimodal features.

Relationship with GPT4

• OpenAI confirms that they are not operating this service right now but will announce it to the community when it releases.