![]() ![]() In contrast, ChatGPT showcases the significant advancements made in the AI field since its inception. It boasts an astonishing dataset, advanced training techniques, and the capability to generate images alongside text. With computational power surpassing its predecessor, GPT-4, by a remarkable factor of five, and the ability to process multimodal data like never before, Gemini presents a formidable competitor. ![]() ChatGPT," it's evident that Gemini stands as a harbinger of AI's future. The emergence of Google's groundbreaking model, Gemini, has ushered in a new era in artificial intelligence. What sets it apart is its ability to not only generate text but also produce images, marking a groundbreaking milestone as the first text generation model with image generation capabilities. Gemini can get inputs in the form of text, video, audio, and images. Google takes this concept to an unprecedented level of sophistication. Achieving synergy between different data types is a challenging task, but it has been successfully demonstrated on multiple occasions. Multimodal capabilities have a proven track record of significantly improving the model performance. ![]() Each of these data types represents different facets or modalities of the world, reflecting the various ways in which it is perceived and experienced. Multimodal refers to a learning approach of machine learning models that involves various forms of input data, like text, images, and audio. What are Gemini's Multimodal Capabilities What is Multimodal? This estimate is derived from the token counts present in data collections that Google had previously employed for training its models.
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