谷歌最强AI模型Gemini完全免费使用，比GPT-4还强？随意创建API key使用，文本图像任务轻松处理

The video introduces Google's latest AI model, Gemini, which is positioned to compete with OpenAI's GPT-4. The presenter shares a link for viewers to access the model and suggests using a browser translation plugin for convenience. Gemini comes in three tiers: Ultra, Pro, and Nano, each designed for different levels of complexity and use cases. Gemini Ultra is for large-scale, high-complexity tasks and will be released in early 2024. Gemini Pro is a high-performance model available for free and suitable for various text and image reasoning tasks. Gemini Nano is designed for offline use on devices like Google phones. The presenter also explains that while Gemini Pro is free, it has a limit of 60 queries per minute, which is sufficient for most users. The video demonstrates how to access and use Gemini Pro, including generating an API key for third-party applications and using it within a translation plugin.

The presenter demonstrates how to use Gemini Pro for text-based tasks. After logging into a Google account and agreeing to terms, the viewer is shown how to generate an API key for Gemini, which can be copied and used in various applications. The presenter uses a translation plugin as an example, showing how to configure it to use Gemini's API for translating text. The video also covers how to use Gemini Pro directly within the Google AI studio to input text and receive responses from the model. The model's capabilities are showcased as it introduces itself and answers questions, such as comparing its strength to ChatGPT. The presenter encourages viewers to explore and ask creative questions to fully utilize the model's capabilities.

The video concludes with an exploration of Gemini Pro Vision, which is designed for image processing tasks. The presenter guides viewers on how to select and use images from Google Drive or sample images provided by Gemini. It demonstrates the model's ability to recognize objects in images and generate poetry based on the content of the images. The presenter also shows how users can upload their own images for processing and encourages viewers to experiment with different uses of the model. The video ends with a call to action for viewers to like, comment, and subscribe for more informative content.