
Gemini AI: A Comprehensive Guide to the New Generative AI Platform
In a bold move, Google has launched its highly anticipated productivity AI platform, Gemini, leading to the flagship model, Gemini Ultra. This comprehensive guide will take a look at what Gemini is, its performance, and how it compares. Stay tuned for updates on new Gemini models and features!
Also read: Googles powerful Gemini AI leads ChatGPT in the latest benchmarks
Gemini, developed by Google's AI research labs DeepMind and Google Research, is a family of advanced artificial intelligence models. It consists of three types:
Gemini models are "fully multimodal", able to work with text, audio, images and video. This sets Gemini apart from models like Google's LaMDA, enhancing its versatility.
(Image Credit: Google)
Gemini differs from Bard, which is an interface for accessing some Gemini modules. Think of Bard as the app and Gemini as the underlying model, similar to OpenAI's ChatGPT and GPT models.
Being multimodal, Gemini can potentially perform a variety of tasks, from transcribing speech to creating artwork. While some capabilities are still in development, Google promises a host of functionality in the near future.
(Image Credit: TechCrunch)
(Image Credit: TechCrunch)
While Gemini claims superiority on benchmarks, real-world performance remains to be seen. Early impressions suggest minor improvements, with users noting some issues with functions such as translation and coding suggestions.
Also read: Alphabet Reduces Costs for Its Advanced AI Model Gemini
Gemini Pro is currently free in Bard, AI Studio, and Vertex AI. Post-preview, it will cost $0.0025 per character for input and $0.00005 per character for output in Vertex AI.
Where can you try Gemini?
Gemini Pro:
Stay tuned for the latest updates on Google's Gemini, a game changer in the world of AI!
Related: OpenAI Unveils Framework to Assess and Mitigate AI Risks
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