Google recently launched its new AI model, Gemini, which has been touted to surpass GPT-4 in several benchmarks. However, this launch raises questions about its actual performance and future availability. Gemini, coming in three versions – Ultra, Pro, and Nano – promises a multimodal approach, integrating text, images, videos, and audio. The post-launch analysis reveals both impressive advancements and certain limitations.

Key Takeaways

  1. Gemini’s Performance Metrics: While Gemini Ultra outperforms GPT-4 in some benchmarks, it’s not yet available to the public. The current Bard implementation uses Gemini Pro, which is comparable but not superior to GPT-4.
  2. Innovative Multimodal Training: A standout feature of Gemini is its foundation on multimodal data, suggesting a potential edge in future AI developments.
  3. Model Availability: Gemini Ultra, the most advanced version, is expected to be released next year. Meanwhile, developers will soon have access to Gemini Pro, and Gemini Nano is slated for integration into mobile devices.
  4. Benchmark Controversies: The MMLU performance claim, where Gemini reportedly surpasses GPT-4 and even human capabilities, has been scrutinized for its prompting techniques.
  5. Practical Applications and Demos: Gemini showcases abilities like scanning scientific papers, competitive programming skills, and creating user interfaces, hinting at its diverse potential applications.
  6. Comparative Analysis with GPT-4: Despite claims, real-world testing suggests that GPT-4 remains competitive, especially in ChatGPT and Bing’s Creative mode.
  7. Google’s Strategy: The launch of Gemini indicates Google’s continued investment in AI, but actual integration into consumer products and its comparison with existing models like ChatGPT remains to be seen.

Conclusion

Google’s Gemini represents a significant step in AI development, especially with its multimodal approach. However, the actual impact and usability of the model, particularly Gemini Ultra, are yet to be realized. It challenges the status quo but also falls into a pattern of high expectations followed by waitlists and gradual rollouts.

Referenced article:

Introducing Gemini: our largest and most capable AI model
Gemini is our most capable and general model, built to be multimodal and optimized for three different sizes: Ultra, Pro and Nano.

Google Channel posted some videos on Gemini:

  • Generic anouncement:
  • Youtuber using Gemini to collaborate on crafting a paper plane which challenges aerodynamics: