Description The code demonstrates a practical implementation of using the Google Generative AI Python SDK to interact with Gemini models for document analysis. By uploading documents from local files or URLs, users can leverage Gemini's capabilities to answer questions, summarize content, analyze sentiment, and translate...

Description The code primarily demonstrates Gemini's code execution feature. This capability allows Gemini to not only generate Python code based on your instructions but also to execute that code within the Colab environment and provide the results. The code utilizes the google-generativeai package to interact...

Description The code shows how to use a powerful AI tool called Gemini to understand and analyze audio. The primary purpose of this code is to showcase the capabilities of the Gemini API for audio processing, including transcription, translation, summarization, and description. It provides examples...

Description Video-to-text prompting extends image-to-text prompting to the temporal dimension. It uses videos as input to guide large language models (LLMs) in generating textual descriptions, summaries, or answers related to the video content. Instead of a single image, a sequence of frames or encoded video...

Description Image-to-text prompting, also known as visual prompting is a technique used to guide large language models (LLMs) to generate text based on provided images. Instead of solely relying on textual prompts, this method incorporates visual information as a key input. The fundamental principle is...