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const { OpenAI } = require('openai');
const api = new OpenAI({
baseURL: 'https://api.ai.cc/v1',
apiKey: '',
});
const main = async () => {
const result = await api.chat.completions.create({
model: 'gemini-2.0-flash-exp',
messages: [
{
role: 'system',
content: 'You are an AI assistant who knows everything.',
},
{
role: 'user',
content: 'Tell me, why is the sky blue?'
}
],
});
const message = result.choices[0].message.content;
console.log(`Assistant: ${message}`);
};
main();
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.ai.cc/v1",
api_key="",
)
response = client.chat.completions.create(
model="gemini-2.0-flash-exp",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
-
AI Playground
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Product Detail
💡 Gemini 2.0 Flash Experimental: An Overview
Discover Gemini 2.0 Flash Experimental, a cutting-edge multimodal AI model from Google DeepMind. Released on December 11, 2024, this Version 2.0 model is designed to power advanced agentic experiences. It excels at processing and generating content in multiple formats, including text, images, audio, and video, making it ideal for real-time conversation systems and interactive tools.
Basic Information
- Model Name: Gemini 2.0 Flash Experimental
- Developer/Creator: Google DeepMind
- Release Date: December 11, 2024
- Version: 2.0
- Model Type: Multimodal Large Language Model (LLM)
For additional insights into the Gemini platform, you can read more about Gemini 2 (Source: Gemini 2.0 Launched: Google Surprises with a New Multimodal AI Agent).
✨ Key Features of Gemini 2.0 Flash
- Multimodal Capabilities: Supports both multimodal inputs (text, images, video, audio) and outputs (text, images, speech), enabling rich and interactive experiences.
- Native Image Generation: Can create or edit images and seamlessly blend them with text, significantly enhancing visual storytelling.
- Text-to-Speech (TTS): Offers controllable TTS capabilities, allowing users to steer the speaking style to match any mood or context.
- Native Tool Use: Integrates effectively with external tools like Google Search and code execution, enabling complex task automation and advanced problem-solving.
- Low Latency: Optimized for minimal latency, making it particularly suitable for real-time applications and highly interactive systems.
🎯 Intended Use & Language Support
Gemini 2.0 Flash is specifically designed for developers and researchers who aim to build sophisticated AI agents. Its capabilities are highly beneficial for creating applications such as virtual assistants, customer service chatbots, and educational platforms, fostering more engaging and human-like interactions.
The model is inherently multilingual, offering robust support for various languages in both input and output. This extensive language support makes it exceptionally versatile for diverse global applications.
⚙️ Technical Details
Architecture
Gemini 2.0 Flash is built upon a sophisticated transformer architecture, which has been significantly enhanced with multimodal capabilities. This advanced architectural design allows the model to efficiently process and generate content across various modalities, thereby supporting superior agentic experiences.
Training Data
The model was trained on a diverse dataset meticulously sourced from various publicly available repositories. This extensive training ensures robust performance across a multitude of scenarios and applications.
- Data Source and Size: The training dataset includes a vast array of media types, although specific sizes remain undisclosed by Google DeepMind.
- Knowledge Cutoff: The model's knowledge base is current as of August 2024.
- Diversity and Bias: The training data was carefully curated to minimize biases while simultaneously maximizing diversity in topics and styles, enhancing the model's ability to generate varied and fair outputs.
Performance Metrics
Gemini 2.0 Flash has consistently demonstrated strong performance metrics, highlighting its efficiency and reliability across various complex tasks.
📚 Usage & API Access
Code Samples & Platform Access
The Gemini 2.0 Flash Experimental model is readily available on the AI/ML API platform. It can be accessed under the designated name "Gemini 2.0 Flash Experimental".
<snippet data-name="open-ai.chat-completion" data-model="gemini-2.0-flash-exp"></snippet>
API Documentation
For comprehensive details and integration guidance, extensive API Documentation is provided, ensuring a smooth development experience.
🤝 Ethical Guidelines & Licensing
Ethical AI Development
Google places a strong emphasis on ethical considerations throughout the AI development lifecycle. The organization actively promotes transparency regarding the model's capabilities and limitations, encouraging responsible usage to prevent potential misuse or harmful applications of generated content.
Licensing Information
Gemini models are offered under a commercial license. This license grants both research and commercial usage rights, while simultaneously ensuring adherence to ethical standards and respecting creator rights.
Ready to innovate with advanced AI? Get the Gemini 2.0 Flash Experimental API here.
❓ Frequently Asked Questions (FAQ)
A: It is a cutting-edge multimodal AI model developed by Google DeepMind, launched on December 11, 2024, designed to process and generate content in various formats (text, images, audio, video) for real-time agentic experiences.
A: Its main capabilities include multimodal input/output, native image generation, controllable Text-to-Speech (TTS), native tool use (e.g., Google Search integration), and optimization for low latency.
A: It is primarily intended for developers and researchers who want to build advanced AI agents, particularly for applications such as virtual assistants, customer service chatbots, and educational platforms.
A: The model's knowledge is current as of August 2024.
A: Yes, Gemini models, including Flash Experimental, are available under a commercial license that permits both research and commercial usage rights.
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