The world of artificial intelligence (AI) is witnessing significant rivalry with Google’s Gemini Pro and OpenAI’s GPT-4 at the forefront. These advanced multimodal AI models are pushing the boundaries in a variety of fields, including reasoning, math, language understanding, and coding skills. Recently, a research paper titled “Twins in Reasoning: Revealing Common Sense in Multimodal Large Language Models” delves into a detailed comparison of these two AI titans, highlighting their unique capabilities and performance metrics.
Gemini Pro, announced by Google on December 6, 2023, represents the pinnacle of Google’s AI development. It is not just a language model, but a multi-functional multi-modal AI capable of processing text, images, video and audio data. Compared to GPT-4, Gemini Pro demonstrated superior performance on reasoning and math metrics, and showed higher performance on code generation and problem-solving tasks.
Data sets and experiments
A recent study by Stanford and Meta researchers evaluated the performance of Gemini Pro, GPT-3.5 Turbo, and GPT-4 Turbo on 12 rational reasoning datasets spanning general, professional, and social reasoning, as well as multimodal datasets. The overall performance of Gemini Pro was found to be comparable to GPT-3.5 Turbo and slightly behind GPT-4 Turbo.
Real world applications
The practical application of Gemini Pro is extensive. It powers Google Bard and is available to developers and organizations through the Gemini API and Google Cloud’s Vertex AI platform. Free access to the model through AI Studio allows developers to experiment and integrate its capabilities into various applications.
Google recently introduced a suite of generative AI tools, including Imagen 2 and Duet AI, along with the Gemini API. Imagen 2, an advanced text-to-image distribution technology, and MedLM, a core model fine-tuned for the healthcare industry, represent Google’s commitment to expanding AI applications across fields. Available to developers and security operations, Duet AI further expands the potential use cases of AI in application development and cybersecurity.
A comparison between Google’s Gemini Pro and OpenAI’s GPT-4 highlights the rapid progress in AI capabilities. While the GPT-4 leads in the reasoning tasks, the Gemini Pro excels in the reasoning, math, and multimodal tasks. This competition drives innovation and expands the scope of AI applications across industries.
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