Exploring Million-Token Models with Google Gemini Pro 1.5

Google Gemini Pro 1.5 breaks new ground with its million-token capacity, reshaping AI prompting by maximizing the size of its context window. Learn how modern LLMs use a million tokens to handle complex data sets, and allow advanced analysis of different media types, such as text, images, audio, and video processing.

Learning objectives

• Examine Google Gemini Pro 1.5's million-token capacity
• See how context window and token usage enhances LLM performance
• Discover how Google AI Studio can be used to experiment with a large context window
• Learn to use Gemini Pro 1.5 for custom applications
• Explore how the model processes large datasets, like text, images, audio, and video
• Assess performance through tasks like 'needle in a haystack' and context summarization