Getting Started with the Gemini 2.0 Flash Thinking Model Google Cloud Skills Boost Lab Solution

Follow along with this video to solve the lab on your own!

Try the Lab: ☁️

www.cloudskillsboost.google/course_templates/1240/…

What is the lab about?🧠

Gemini 2.0 Flash Thinking is an experimental model that explicitly showcases its thoughts. Built on the speed and performance of Gemini 2.0 Flash, this model is trained to use thoughts in a way that leads to stronger reasoning capabilities. This lab demonstrates how you can use the Gemini 2.0 Flash Thinking model to solve the following complex tasks that require multiple rounds of strategizing and iteratively solving.

Gemini is a family of powerful generative AI models developed by Google DeepMind, capable of understanding and generating various forms of content, including text, code, images, audio, and video.

Objectives⚡

In this lab, you will learn how to use Gemini 2.0 Flash Thinking to solve complex tasks. You will:

Observe multiple examples of Gemini 2.0 Flash Thinking in action, including code simplification, geometry problems, statistical analysis, and brain teasers.

Understand use cases for Gemini 2.0 Flash Thinking.

Gemini API in Vertex AI:

The Gemini API in Vertex AI provides a unified interface for interacting with Gemini models. This allows developers to easily integrate these powerful AI capabilities into their applications. For the most up-to-date details and specific features of the latest versions, please refer to the official Gemini documentation.


Gemini Pro: Designed for complex reasoning, including:
Analyzing and summarizing large amounts of information.
Sophisticated cross-modal reasoning (across text, code, images, etc.).
Effective problem-solving with complex codebases.

Gemini Flash: Optimized for speed and efficiency, offering:
Sub-second response times and high throughput.
High quality at a lower cost for a wide range of tasks.
Enhanced multimodal capabilities, including improved spatial understanding, new output modalities (text, audio, images), and native tool use (Google Search, code execution, and third-party functions).

💻💖
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