Google AI Studio is about to launch two highly anticipated new features, one of which developers have been eagerly awaiting. This platform, which focuses on prototype design and machine learning model experimentation, now officially supports native video frame extraction and context caching. The video frame extraction feature has been launched today, while the context caching feature will soon be introduced in the Gemini API. The newly introduced video frame extraction feature empowers developers with more powerful video processing capabilities. Developers can easily process videos in their applications, allowing Gemini to capture individual frames or images of specific sequences in the video. This not only helps AI better understand video scenes but also provides more accurate summaries, thereby further enhancing the user experience. It is worth mentioning that this feature supports flexible adjustments, and developers can easily find and configure it in the Gemini API. The upcoming context caching feature brings good news to developers who need to process large amounts of information. By caching frequently used contexts, developers can significantly reduce costs and simplify workflows. In short, files only need to be sent to Gemini once, without the need for repeated sending. Google states that this feature is particularly useful in scenarios such as "content brainstorming based on existing work, analyzing complex documents, or providing summaries of research papers and training materials." It will be fully supported in the Gemini API. These two new features are part of a series of Gemini new features announced by Google at a recent developer conference. There are also other exciting headlines, such as the release of Gemini 1.5 Flash, the brand-new Gemma 2 model, and a pre-trained variant called PaliGemma. The launch of these new features undoubtedly further enhances the influence of Google AI Studio in the field of machine learning, bringing developers a more convenient and efficient working experience.