The AI Engine of Creation: Exploring the Capabilities of AI Chatbots based on Generative AI, Large Language Models and Large Multimodal Models

AI chatbots have been reincarnated with the soul of generative AI, and now they are able to respond with intelligence and consciousness similar to that of humans. These AI chatbots that are based on generative AI are continuously evolving and enhancing their capabilities to act increasingly similar to humans. Generative AI represents all those AI technologies that can generate variety of contents including text, image, audio, video, code, virtual world, dataset, and web data. Different types of generative AI models have been developed to generate such contents, and Large Language Models (LLMs) and Large Multimodal Models (LMMs) are currently the most popular generative AI models used in most modern AI chatbots; where LLMs mostly handle and generate text data, whilst LMMs are able to handle and generate multiple data types or modalities such as text, image, audio, and video. The growing importance of AI chatbots based on generative AI necessitates an exploration of their capabilities in a detailed manner to obtain better understanding about their strengths and utilisations. Exploring the capabilities of AI chatbots that are based on generative AI, this paper will provide a systematic classification and thorough explanation of the capabilities of AI chatbots. It will classify the capabilities of AI chatbots into eight major categories: text generation and analysis, image generation and analysis, audio generation and analysis, video generation and analysis, code generation and analysis, virtual world generation and analysis, data (dataset) generation and analysis, and web data generation and analysis. This systematic classification and thorough exploration of the capabilities of AI chatbots will enable users to analyse these capabilities and the effective utilisation of AI chatbots in real life.