The AI Prompt Engineer

Gemini Advanced - Google's Latest Multimodal AI Powerhouse

Google recently introduced its latest chat-based AI product called Gemini Advanced, a more capable version of their Gemini model powered by the Gemini Ultra 1.0 multimodal architecture. This AI system replaces Bard and is now accessible through the web application, with plans to roll out to mobile platforms.

Key Capabilities

Gemini Ultra 1.0, the foundation of Gemini Advanced, is the first model to outperform human experts on the Multimodal Language Understanding (MMLU) benchmark, which tests knowledge and problem-solving abilities across subjects like math, physics, history, and medicine. Gemini Advanced demonstrates enhanced capabilities in complex reasoning, following instructions, educational tasks, code generation, and various creative applications.

Reasoning and Problem-Solving

The Gemini model series showcases strong reasoning abilities, enabling tasks such as image reasoning, physical reasoning, and math problem-solving. For example, when prompted to propose a stable way to stack a book, 9 eggs, a laptop, a bottle, and a nail, Gemini Advanced exhibited common sense reasoning to suggest a solution.

Creative Collaboration

Gemini Advanced can be used for generating fresh content ideas, analyzing trends, and developing strategies for growing audiences, similar to GPT-4. The model demonstrated its ability to perform creative interdisciplinary tasks by generating a Shakespearean-style dialogue between two parties arguing over a proof of the fact that there are infinitely many primes.

Multimodal Capabilities

One of the unique features of Gemini Advanced is its ability to generate interleaved images and text. When prompted to create a blog post about a trip to New York with a dog and its owner having fun at different landmarks, the model generated relevant images of the dog posing happily at various locations.


Gemini Advanced represents a significant advancement in multimodal AI, showcasing impressive capabilities in reasoning, problem-solving, creativity, and multimodal content generation. As Google continues to refine and expand the Gemini model series, it will be exciting to see how this technology is applied to real-world scenarios and its impact on various industries.

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