With the continued evolution and improvement of the field of AI, its impact on daily life is rapidly increasing, making it an essential area of focus for businesses and individuals. AI models are gradually replacing human labor with the capability to perform every imaginable task that was previously only attainable by humans. According to Grand View Research, the global chatbot market was valued at USD 5,132.8 million in 2022 and is expected to increase at a CAGR of 23.3% between 2023 and 2030.

Additionally, Market.US reports that the global chatbot market was valued at USD 4.92 billion in 2022 and is expected to exhibit the highest CAGR of 23.91% from 2023 to 2032, with an expected market size of USD 42 billion by the end of the forecast period. The rising demand for customer service is expected to be the major driver behind this projected growth.

ChatGPT is an example of how AI has transformed human-machine interaction, blurring the barriers between the two, and demonstrating AI’s immense potential and promising future. However, ChatGPT has its limitations, as it cannot create images or process visual prompts.

To address this issue, Microsoft has made significant progress by developing Visual ChatGPT, a language model that generates coherent and contextually relevant responses to image-based prompts. The model uses a combination of natural language processing techniques and computer vision algorithms to understand the content and context of images and generate textual responses accordingly.

Visual ChatGPT is a fusion of ChatGPT and Visual Foundation Models (VFMs) such as Transformers, ControlNet, and Stable Diffusion. Its advanced algorithms and state-of-the-art deep learning techniques enable it to interact with users in natural language, providing them with the information they need. Additionally, with the integration of visual foundation models, Visual ChatGPT can analyze pictures or videos that users upload to comprehend th