Gemini 1.5 Pro Now Available in 180+ Countries; with Native Audio Understanding, System Instructions, JSON Mode and more

We are continuing to work on making Google AI Studio and the Gemini API the easiest way to build with the latest Gemini model.

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Jaclyn Konzelmann, Megan Li
•3 min read•beginner•
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GeminiGolangJSONLarge Language ModelsVertex AI

Overview

Gemini 1.5 Pro has been launched in over 180 countries, introducing features such as native audio understanding, system instructions, and JSON mode. This update enhances the capabilities of developers using the Gemini API and Google AI Studio, allowing for more versatile applications including audio and video processing.

What You'll Learn

1

How to utilize native audio understanding in Gemini 1.5 Pro

2

Why system instructions are essential for guiding model responses

3

How to implement JSON mode for structured data extraction

Key Questions Answered

What new features are included in Gemini 1.5 Pro?
Gemini 1.5 Pro includes native audio understanding, system instructions, and JSON mode. These features allow developers to guide model responses, extract structured data, and enhance multimedia processing capabilities.
How does the new text embedding model perform compared to previous models?
The new text embedding model, text-embedding-004, outperforms existing models with comparable dimensions on the MTEB benchmarks, showcasing stronger retrieval performance and efficiency.
How can developers start using Gemini 1.5 Pro?
Developers can start using Gemini 1.5 Pro by obtaining an API key from Google AI Studio and accessing the Gemini API Cookbook for code examples and quickstarts.

Key Statistics & Figures

Countries where Gemini 1.5 Pro is available
180+
This broad availability allows developers worldwide to access and utilize the new features of Gemini 1.5 Pro.
Token limit for context window
1 million
This extensive context window supports more complex interactions and data processing capabilities.

Technologies & Tools

Backend
Gemini API
Used for accessing the features of Gemini 1.5 Pro, including audio understanding and JSON mode.
Frontend
Google AI Studio
Platform for developers to create and manage their applications using Gemini 1.5 Pro.

Key Actionable Insights

1
Leverage the native audio understanding feature to build applications that can process and analyze speech data.
This feature allows for innovative use cases such as creating quizzes from lecture recordings, enhancing educational tools and accessibility.
2
Utilize system instructions to customize the behavior of the Gemini model for specific applications.
By defining roles and goals, developers can tailor responses to better fit their use cases, improving user experience and output relevance.
3
Implement JSON mode to streamline data extraction processes in your applications.
This mode enables structured outputs, making it easier to integrate AI-generated data into existing systems and workflows.

Common Pitfalls

1
Failing to utilize system instructions effectively can lead to suboptimal model responses.
Without clear guidance on roles and objectives, the model may produce irrelevant or inaccurate outputs, diminishing the quality of the application.

Related Concepts

Audio Understanding In AI Applications
Structured Data Extraction Techniques
Text Embedding Models And Their Applications