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"Gemini" Gen-AI when Google punches back

  • Writer: Pisek Kultavewuti
    Pisek Kultavewuti
  • Dec 7, 2023
  • 2 min read

Gemini Gen AI from Google
Gemini Gen AI from Google

Google has just released Gemini, their latest Gen AI in the LLM style. The admin thinks it's really exciting, this new model is surprisingly powerful. Gemini has been trained to be truly multimodal, which means it understands text, video, and audio - essentially "read", "watch", and "listen".


Let's see how this move from Google turns out. Will it be a game-changer against OpenAI? More details are provided below.


Introduction of Gemini, Gen AI from Google:

  • Google's CEO Sundar Pichai announced the launch of Gemini, a new large language model (LLM). Gemini was first hinted at during the I/O developer conference and is now available to the public.

Variants of Gemini:

  • Gemini Nano: A lighter version designed to run offline on Android devices.

  • Gemini Pro: A more powerful version that powers Google AI services and is the backbone of Bard.

  • Gemini Ultra: The most advanced model, intended for data centers and enterprise applications.

Deployment and Availability:

  • Bard is powered by Gemini Pro.

  • Pixel 8 Pro users will have new features thanks to Gemini Nano.

  • Gemini Pro will be accessible to developers and enterprise customers through Google Generative AI Studio or Vertex AI in Google Cloud from December 13th.

  • Initially, Gemini is available only in English, with plans to include other languages.

Comparison with OpenAI's GPT-4:

  • Google conducted 32 benchmarks comparing Gemini and GPT-4, claiming Gemini outperformed GPT-4 in 30 out of 32 benchmarks.

  • Gemini's strengths include its ability to interact with video and audio, not just text.

Features and Capabilities of Gemini:

  • Gemini Ultra can process images, video, and audio.

  • Plans to include more senses and capabilities, such as action and touch, related to robotics.

  • Gemini models aim to become more aware and accurate over time.

Efficiency and Performance:

  • Gemini is more efficient than previous models like PaLM, trained on Google’s Tensor Processing Units.

  • Alongside Gemini, Google launched TPU v5p for data center use.

Google's Strategy and Future Plans:

  • Gemini represents a significant step in Google's AI development and is seen as a response to the success of OpenAI's ChatGPT.

  • Google focuses on "bold and responsible" AI development, approaching the concept of artificial general intelligence (AGI) with caution and optimism.

  • Gemini is part of Google's long-term vision, with a focus on safety, reliability, and responsible AI development.

Impact and Expectations:

  • Gemini may help Google catch up with OpenAI in the AI race.

  • The success of Gemini could be crucial for Google's future in the tech industry.

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