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Chat GPT-3.5 Turbo 1106
Access GPT-3.5 Turbo-1106, an advanced language model from OpenAI. Alongside with 100+ AI Models - our API will open a new freedom for you.
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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: 'gpt-3.5-turbo-1106',
    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="gpt-3.5-turbo-1106",
    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}")
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Chat GPT-3.5 Turbo 1106

Product Detail

💡 GPT-3.5 Turbo 1106: An Advanced Conversational AI

Discover the capabilities of GPT-3.5 Turbo-1106, a cutting-edge large language model developed by OpenAI. Released in 2023, this text-based AI is engineered for superior performance in conversational tasks, delivering fast and engaging responses across a diverse range of applications.

  • Developer: OpenAI
  • Version: 3.5 Turbo 1106
  • Model Type: Text-based language model

Key Features Driving Performance

GPT-3.5 Turbo-1106 is distinguished by several impressive features designed to enhance its utility and performance:

  • Expansive Context Window: Boasts an impressive 16,385 tokens, allowing for deeper and more coherent conversations.
  • High Output Capacity: Capable of generating up to 4K output tokens per request, ideal for detailed responses.
  • Robust Training: Trained on a vast and diverse dataset, ensuring a broad knowledge base.
  • Multilingual Support: Supports a wide array of languages and scenarios, making it highly versatile for global applications.

🚀 Intended Use & Language Versatility

This powerful AI model is primarily intended for applications requiring sophisticated natural language processing (NLP) and generation. Its advanced conversational capabilities make it an invaluable asset for:

  • Virtual Assistants: Powering intelligent and responsive AI assistants.
  • Customer Service Chatbots: Enhancing user experiences and improving customer support interactions.
  • Interactive Storytelling: Creating dynamic and engaging narrative experiences.

Furthermore, GPT-3.5 Turbo-1106 offers extensive language support, surpassing its predecessors. This enables developers to build multilingual applications that effectively engage users in their preferred language, broadening accessibility and global reach.

⚙️ Technical Deep Dive

Architecture

GPT-3.5 Turbo-1106 is built upon the highly effective Transformer-based language model architecture, a foundational element behind its impressive capabilities and performance.

Training Data

The model was trained on a vast corpus of web pages, books, and other online sources, providing it with a comprehensive and diverse knowledge base. While the exact size and sources remain proprietary to OpenAI, its demonstrated performance attests to a robust training regimen.

Knowledge Cutoff

Based on the Original Description of GPT-3.5 Turbo 1106, the training data for GPT-3.5 Turbo-1106 extends up to September 2021. This means it may not be aware of events or information occurring after this date.

Diversity and Bias Considerations

OpenAI actively strives to minimize bias in its language models. However, it is crucial for developers to acknowledge that all large language models can exhibit biases inherited from their training data. Careful evaluation of model outputs and proactive measures are recommended to mitigate potential biases in real-world applications.

📊 Performance & Usage

Performance Metrics

GPT-3.5 Turbo-1106 demonstrates high speed and robust performance, particularly excelling in coding tasks. Its efficiency makes it a strong candidate for demanding applications.

GPT 3.5 Models benchmark
GPT 3.5 Models benchmark (Image Source: Original Description)

API Example & Ethical Guidelines

Developers can integrate GPT-3.5 Turbo-1106 via its API. An example snippet for chat completion might look like:

{/* This area typically contains an API example snippet */}

(Actual API snippet for `open-ai.chat-completion` with `gpt-3.5-turbo-1106` would be placed here.)

OpenAI places significant emphasis on ethical considerations in AI development. Users of OpenAI's LLMs are strongly encouraged to adhere to ethical guidelines, ensuring responsible and beneficial application of this powerful technology.

License Type

GPT-3.5 Turbo-1106 operates under a commercial licensing model. Specific details and terms are available directly through OpenAI.

Frequently Asked Questions (FAQ)

Q1: What is the primary advantage of GPT-3.5 Turbo-1106?

A1: Its primary advantage lies in its extended context window of 16,385 tokens and ability to generate up to 4K output tokens, leading to more coherent and comprehensive conversational responses.

Q2: What are the main applications for this model?

A2: It's ideally suited for applications requiring natural language processing and generation, such as virtual assistants, customer service chatbots, and interactive storytelling platforms.

Q3: How up-to-date is GPT-3.5 Turbo-1106's knowledge?

A3: The model's knowledge cutoff is September 2021, meaning it may not have information about events or developments that occurred after that date.

Q4: Does the model support multiple languages?

A4: Yes, GPT-3.5 Turbo-1106 offers extensive multilingual support, enabling developers to create applications that interact with users in various languages.

Q5: What ethical considerations should developers keep in mind?

A5: Developers should always consider the ethical implications of using large language models, including potential biases from training data, and take steps to evaluate and mitigate biases in their applications.

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