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