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Claude 3.5 Haiku
Explore Claude 3.5 Haiku by Anthropic, a fast language model designed for coding assistance, chatbots, and real-time data processing tasks.
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                                        const Anthropic = require('@anthropic-ai/sdk');

const api = new Anthropic({
  baseURL: 'https://api.ai.cc/',
  authToken: '',
});

const main = async () => {
  const message = await api.messages.create({
    model: 'claude-3-5-haiku-20241022',
    max_tokens: 2048,
    system: 'You are an AI assistant who knows everything.',
    messages: [
      {
        role: 'user',
        content: 'Tell me, why is the sky blue?',
      },
    ],
  });

  console.log('Message:', message);
};

main();

                                
                                        import asyncio
from anthropic import Anthropic

client = Anthropic(
    base_url="https://api.ai.cc/",
    auth_token="",
)


def main():
    message = client.messages.create(
        model="claude-3-5-haiku-20241022",
        max_tokens=2048,
        system="You are an AI assistant who knows everything.",
        messages=[
            {
                "role": "user",
                "content": "Hello, Claude",
            }
        ],
    )

    print("Message:", message.content)


if __name__ == "__main__":
    main()
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Claude 3.5 Haiku

Product Detail

Claude 3.5 Haiku: A Powerful and Fast AI Model

✨ Key Highlights

Claude 3.5 Haiku, developed by Anthropic, is an advanced Large Language Model (LLM) engineered for exceptional speed and sophisticated reasoning. Released on November 4, 2024 (Version 1.0), it's specifically optimized for tasks demanding quick responses and efficient data processing.

Basic Information

  • Model Name: Claude 3.5 Haiku
  • Developer/Creator: Anthropic
  • Release Date: November 4, 2024
  • Version: 1.0
  • Model Type: Large Language Model (LLM)

🚀 Unrivaled Speed & Capabilities

  • Blazing Fast: Processes up to 21,000 tokens per second, setting a new benchmark for speed.
  • 🧠 Vast Context Window: Supports a context length of up to 200,000 tokens for extensive input handling.
  • 🔒 Enterprise-Grade Security: Incorporates advanced security protocols, ideal for sensitive applications.
  • 💡 Enhanced Intelligence: Superior performance in coding, complex reasoning, and visual data interpretation.

💰 API Pricing Structure

  • Input: $0.84 per million tokens
  • Output: $4.20 per million tokens

🎯 Intended Use Cases

Claude 3.5 Haiku is versatile, designed for a wide array of applications across various sectors:

  • 💬 Interactive Chatbots & Automated Customer Support
  • 📊 Real-time Data Analysis
  • 🛡️ Content Moderation
  • Serving industries like finance, healthcare, and e-commerce.

🌐 Global Language Support

Claude 3.5 Haiku supports multiple languages, significantly enhancing its utility and applicability in diverse global contexts.

Technical Specifications

Architecture

Utilizing a highly optimized Transformer architecture, Claude 3.5 Haiku features enhancements designed for superior speed and computational efficiency:

  • 🔢 Layers: 48
  • 📏 Hidden Dimension: 16,384
  • 👁️ Attention Heads: 32
  • ⚙️ Activation Function: GELU
  • Precision Type: FP16 for efficient computation

Training Data

The model's robust understanding and response capabilities stem from training on a diverse dataset:

  • Data Source and Size: Comprises billions of tokens from books, articles, websites, and user-generated content, ensuring comprehensive language comprehension.
  • Knowledge Cutoff: The model's knowledge is current as of July 2024.
  • Diversity and Bias: The training data was meticulously curated to maximize topic and language diversity while minimizing inherent biases, enhancing the model's robustness across various contexts.

📈 Performance Metrics

Claude 3.5 Haiku consistently demonstrates impressive performance metrics, showcasing its efficiency and accuracy.

Claude 3.5 Haiku Performance Metrics

Usage & Integration

Code Samples & API Access

The model is readily available on the AI/ML API platform under the name "Claude 3.5 Haiku".

Access the API platform here: AI/ML API Platform

<snippet data-name="anthropic.messages" data-model="claude-3-5-haiku-20241022"></snippet>

API Documentation

For comprehensive technical details and integration guides, refer to the official API Documentation:

Detailed API Documentation

Ethical & Legal Framework

Ethical Guidelines

Anthropic, the developer, prioritizes ethical AI development, advocating for transparency regarding the model's capabilities and inherent limitations. Users are encouraged to adhere to responsible usage practices to prevent any potential misuse or harmful applications.

Licensing

Claude 3.5 Haiku is distributed under a commercial license. This license grants rights for both commercial and non-commercial usage, ensuring compliance with established ethical standards.

Ready to experience the speed and power of Claude 3.5 Haiku?

Try Claude 3.5 Haiku API Here!

❓ Frequently Asked Questions (FAQs)

Q: What makes Claude 3.5 Haiku stand out from other LLMs?
A: Claude 3.5 Haiku is distinguished by its exceptional processing speed of up to 21,000 tokens per second and its extensive 200,000-token context window, making it ideal for real-time, high-volume data tasks.
Q: What kind of applications can benefit most from Claude 3.5 Haiku?
A: It's best suited for applications requiring rapid responses and complex understanding, such as interactive chatbots, automated customer support, real-time data analysis, and content moderation across various industries.
Q: How current is Claude 3.5 Haiku's knowledge base?
A: The model's knowledge cutoff is as of July 2024, ensuring its understanding is based on very recent information.
Q: Is Claude 3.5 Haiku suitable for enterprise use?
A: Yes, it includes advanced security protocols and is designed for enterprise-grade applications, supporting demanding environments in finance, healthcare, and e-commerce.
Q: Where can I find the official API documentation for Claude 3.5 Haiku?
A: Detailed API documentation is available on the official platform. You can access it through this link: API Documentation.

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