Google has rebranded its Bard AI chatbot to Gemini and introduced its latest incarnation as Gemini Advanced, accessible via mobile apps on Android and iOS. This reimagined chatbot represents the first industry platform that uses more than just text for generating human-like responses, marking a significant tech advancement. Additionally, Google plans to unveil Gemini Ultra, a more sophisticated tier of the AI language model that powers Gemini.
You can watch our video about Google Gemini.
Google Takes the Lead in Generative AI with Multimodal Model
According to Gartner’s Vice President analyst Chirag Dekate, Google’s Gemini stands out as the only native multimodal generative AI model currently available, a breakthrough that positions Google at the forefront of the generative AI sector. Unlike its competitors, Gemini’s multimodal capabilities allow it to draw upon a wide array of sources for learning, which enhances the engine’s accuracy in task performance. This edge became apparent in December 2024 when Google first showcased Gemini, challenging the dominance of OpenAI’s ChatGPT and Microsoft’s Copilot AI.
Despite OpenAI’s initial lead with the launch of ChatGPT, Google’s rapid development of Bard, and now Gemini, has reversed the competitive dynamic. Gemini’s ability to synthesize information from varied formats—text, code, images, audio, and video—extends beyond the capabilities of text-only large language models (LLMs) like PaLM 2, GPT, and Llama 2 from Meta.
Gemini Set to Transform Enterprises with Diverse Capabilities
Gemini’s multimodal nature is expected to deliver a highly immersive and personalized user experience. Dekate suggests that Google can reshape the marketplace by enabling consumers and enterprises to leverage this technology. Unlike LLMs that are sufficient for simple text tasks, complex and multifaceted tasks necessitate a multimodal approach.
For example, a healthcare company could use a multimodal genAI engine to integrate MRI videos, radiological images, and audio snippets from doctors, thereby enhancing the precision of diagnoses and treatments. Such versatility was underscored by Google Deepmind’s CEO Dennis Hassabis, who pointed out Gemini’s excellent performance across a range of applications. As Gemini’s training concluded, it had already outperformed all other AI models in several key benchmarks.
Gemini’s emergence signifies a transformative shift in AI capabilities, offering an unprecedented level of versatility in real-world applications, from healthcare to multimedia interactions. This development not only cements Google’s leadership in generative AI but also promises to redefine technological interactions.
