Google AI Studio (https://aistudio.google.com/live) it's basically a playground for testing Google's Gemini models. You can experiment with prompts, tweak responses, and even export them for API use.

Google AI Studio & Gemini Models Overview

Google AI Studio

• Purpose: A browser-based integrated development environment (IDE) for developers to experiment with and build applications using Google's AI models, particularly the Gemini series.

• Key Features:

1. Prompt Prototyping: Test and refine prompts in real-time.
2. Code Export: Export configurations to various programming languages.
3. API Key Generation: Obtain a Gemini API key for AI integration.
4. Multimodal Prompting: Supports text and image inputs.
5. Safety Settings: Manage model responses for ethical compliance.
6. Integration with Vertex AI: Transition to Vertex AI for advanced customization.

Access Requirements:

Users must sign in with a Google Account.

Gemini Models

• Overview: A family of multimodal generative AI models capable of processing text, code, images, audio, and video.

Notable Versions:

• Gemini 2.5 Pro Experimental:

1. Enhanced Reasoning: Step-by-step processing for more accurate responses.
2. Performance: Outperforms models from OpenAI and Anthropic.
3. Availability: Available through Google AI Studio and for Gemini Advanced subscribers.

• Key Features:

1. Multimodal Processing: Handles text, code, images, and audio.
2. Context Window: Supports a 2-million-token context window for extensive data analysis.
3. Reasoning Abilities: Provides structured and well-thought-out responses.

Use Cases:

Coding Assistance: Debugging and writing code.

Content Generation: Creating text, images, and more.

Data Analysis: Summarizing and interpreting large datasets.

Educational Tools: Developing interactive learning materials.