Exploring Million-Token Models with Google Gemini Pro 1.5
Exploring Million-Token Models with Google Gemini Pro 1.5
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 18m | 69.7 MB
Instructor: Ray Villalobos
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 18m | 69.7 MB
Instructor: Ray Villalobos
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
Exploring Million-Token Models with Google Gemini Pro 1.5
