Exploring Million-Token Models with Google Gemini Pro 1.5
18mGeneral2024-04-22
Authors
Ray Villalobos
Senior Staff Instructor at LinkedIn Learning
Course details
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
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
Skills covered
GeminiNatural Language Processing (NLP)AI Productivity ToolsGenerative AIGoogleArtificial Intelligence (AI)Business Software and ToolsOne-Off
Concepts
0. Introduction
- 01 - The future of AI is huge
1. One Million Tokens with Google Gemini Pro 1.5
- 02 - Google Gemini Pro and the Gemini Family
- 03 - Why larger context sizes make a difference
- 04 - Using Google AI Studio for testing large context windows
- 05 - Exploring large context assets - Audio, Video, Text