Google Gemini Models and Capabilities
Description
In-depth understanding of Google's Gemini family of multimodal AI models, their capabilities, and applications across different use cases.
Learning Objectives
Learners will understand the Gemini model family including Pro, Flash, and Nano variants, comprehend their multimodal capabilities for text, image, and video processing, and learn how to effectively utilize these models for various business applications and use cases.
Topics (6)
Deep dive into the neural network architecture that powers Gemini models, including transformer architecture, attention mechanisms, and mixture-of-experts design principles.
Detailed comparison of Gemini 1.5 Pro, Gemini 1.5 Flash, and Gemini Nano, including performance characteristics, cost considerations, and optimal use cases for each variant.
Exploration of how Gemini can understand and generate content across multiple modalities, including text-to-image, image understanding, video analysis, and cross-modal reasoning.
Practical implementation of Gemini models through APIs, including authentication, request formatting, response handling, and best practices for production deployment.
Understanding built-in safety features, content filtering options, and additional safety measures to ensure responsible deployment of Gemini models.
Understanding how to effectively use Gemini's 1 million token context window for document analysis, conversation management, and complex reasoning tasks.