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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-1.5-pro',
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-1.5-pro",
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
Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.
Product Detail
Gemini 1.5 Pro Description
✨ Basic Information
- Model Name: Gemini 1.5 Pro
- Developer/Creator: Google DeepMind
- Release Date: February 15, 2024
- Version: 1.5 Pro
- Model Type: Multimodal (Text, Image, Video, Audio, Code)
Overview
🚀 Gemini 1.5 Pro is a state-of-the-art multimodal AI model engineered to process and comprehend various data types, including text, images, videos, audio, and code. It particularly excels in tasks demanding extensive context understanding and the seamless integration of different modalities.
💡 Key Features
- 2-million-token context window: Setting new industry standards for context length.
- Natively multimodal: Allows simultaneous processing of text, images, audio, and video inputs.
- Enhanced efficiency: Utilizes a Mixture-of-Experts (MoE) architecture for optimized performance.
- Extensive data processing: Capable of handling large data inputs, such as long-form videos and vast codebases.
- Improved reasoning: Delivers superior performance in reasoning and generating highly relevant responses across all modalities.
🎯 Intended Use
Gemini 1.5 Pro is specifically designed for applications requiring comprehensive data analysis, such as advanced research, intelligent content generation, and complex reasoning tasks. It proves exceptionally valuable in scenarios involving large datasets, like analyzing extensive videos or summarizing voluminous documents.
It also shows promise for symptom analysis & diagnosis in healthcare, providing high-confidence outputs with precision. To learn more about this and other models and their applications in Healthcare, please refer to AI in Healthcare: Generative AI Uses & Examples.
🌐 Language Support
The model offers extensive support for multiple languages, significantly broadening its applicability in diverse linguistic and global contexts.
Technical Details
📊 Performance Metrics
Gemini 1.5 Pro showcases superior performance, including high accuracy in multimodal tasks and the remarkable ability to sustain 100% recall at 200,000 tokens, with minimal performance degradation even up to 10 million tokens.
Its extensive context window positions Gemini 1.5 Pro as a market leader, being 2 times larger than Gemini 1.5 Flash, 10 times than Claude 3.5 Sonnet, and 16 times than GPT-4o and Llama 3.1 405B.
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⚙️ Architecture
Gemini 1.5 Pro employs a sparse Mixture-of-Experts (MoE) Transformer architecture. This advanced design not only optimizes performance but also substantially reduces computational requirements, enabling it to effectively manage extensive context lengths without performance degradation.
🧠 Data Source and Size
The model was trained on a vast and diverse range of sources, ensuring a comprehensive understanding across various contexts. While the exact size of the dataset remains undisclosed, its design ensures effective coverage of multiple domains.
🗓️ Knowledge Cutoff
The model's knowledge base is current up to February 2024.
🤝 Diversity and Bias
Significant efforts have been invested in incorporating diverse datasets during the training process, with the aim of minimizing biases and enhancing the model's overall robustness and fairness.
Comparison to Other Leading Models
Gemini 1.5 Pro demonstrates impressive rankings across key benchmarks, positioning it as a strong competitor against top models such as GPT-4o, Claude 3.5, and Llama 3.1 405B. It achieves a score of 1265 in General Ability, 86% in Reasoning & Knowledge, and 84.1% in Coding. This performance notably surpasses models like Mixtral 8x22B and Gemini 1.0 Pro, while slightly trailing Claude 3.5 and GPT-4o in specific specialized areas.
Usage & Integration
💻 Code Samples
The Gemini 1.5 Pro model is readily accessible on the AI/ML API platform, where it is designated as "gemini-1.5-pro".
// Example: Basic API call structure
// Refer to API documentation for full implementation details
//
// import client from '@aiclient/gemini';
//
// async function generateContent() {
// const response = await client.chat.completions.create({
// model: "gemini-1.5-pro",
// messages: [
// {
// role: "user",
// content: "Explain the concept of quantum entanglement in simple terms."
// }
// ]
// });
// console.log(response.choices[0].message.content);
// }
//
// generateContent();
📄 API Documentation
Comprehensive API Documentation is available on the AI/ML API website, providing detailed guidelines and resources for seamless integration and deployment.
🛡️ Ethical Guidelines
The development and application of Gemini 1.5 Pro strictly adhere to established ethical AI principles, emphasizing safety, fairness, and transparency. Users are strongly encouraged to thoroughly assess the ethical implications before deploying the model in any specific application.
✅ Licensing
Gemini 1.5 Pro is made available under a flexible licensing model that encompasses both commercial and non-commercial usage rights. Specific terms and conditions are governed by Google's official policies.
Ready to experience Gemini 1.5 Pro? Try it with AI/ML API today!
❓ Frequently Asked Questions (FAQ)
What is Gemini 1.5 Pro?
Gemini 1.5 Pro is Google DeepMind's advanced multimodal AI model, released in February 2024. It can process and understand text, images, video, audio, and code, excelling in long-context understanding tasks.
What is its key distinguishing feature?
Its standout feature is an industry-leading 2-million-token context window, significantly larger than competing models like GPT-4o and Claude 3.5 Sonnet, allowing for processing vast amounts of data simultaneously.
How does Gemini 1.5 Pro handle different data types?
It is natively multimodal, meaning it can simultaneously understand and process information from text, images, video, and audio sources, making it versatile for complex, real-world applications.
What are some intended uses for Gemini 1.5 Pro?
It's ideal for comprehensive data analysis, advanced research, intelligent content generation, and complex reasoning tasks. Its capabilities are particularly beneficial for analyzing long-form videos, large codebases, and extensive documents.
Is Gemini 1.5 Pro available for commercial use?
Yes, Gemini 1.5 Pro is available under a licensing model that includes both commercial and non-commercial usage rights, with specific terms governed by Google's policies.
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