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const { OpenAI } = require('openai');
const api = new OpenAI({ apiKey: '', baseURL: 'https://api.ai.cc/v1' });
const main = async () => {
const prompt = `
All of the states in the USA:
- Alabama, Mongomery;
- Arkansas, Little Rock;
`;
const response = await api.completions.create({
prompt,
model: 'gpt-3.5-turbo-instruct',
});
const text = response.choices[0].text;
console.log('Completion:', text);
};
main();
from openai import OpenAI
client = OpenAI(
api_key="",
base_url="https://api.ai.cc/v1",
)
def main():
response = client.completions.create(
model="gpt-3.5-turbo-instruct",
prompt="""
All of the states in the USA:
- Alabama, Mongomery;
- Arkansas, Little Rock;
""",
)
completion = response.choices[0].text
print(f"Completion: {completion}")
main()
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Product Detail
🚀 Introducing GPT-3.5 Turbo Instruct: A Powerful Language Model for Developers & Businesses
The GPT-3.5 Turbo Instruct model, developed by OpenAI, stands as a highly capable text-based language model, aligning with the robust functionalities of the GPT-3 era. Released in 2023, this version, while operating on the legacy Completions endpoint (not Chat Completions), is specifically engineered for precision in direct instruction-following and efficient text completion tasks. It's an indispensable tool designed to empower software developers and businesses to streamline their workflows and enhance AI-driven applications.
As a GPT-3.5 architecture model, it offers significant improvements, making it a valuable asset for scenarios demanding quick, accurate, and contextually relevant responses.
✨ Key Capabilities & Features
- ✅ Enhanced Accuracy & Safety: Leveraging reinforcement learning from human feedback, the model significantly reduces toxicity and delivers heightened accuracy in its outputs.
- ⚡ Streamlined Responses: Designed for efficiency, it provides concise and relevant responses, ensuring efficient data processing for demanding applications.
- 🎯 Superior Instruction Following: Built on insights from vast training data, it excels at interpreting and executing complex instructions with remarkable precision.
🛠️ Intended Applications & Use Cases
The GPT-3.5 Turbo Instruct model is ideally suited for scenarios where quick, precise, and highly relevant responses are critical. It particularly shines in:
- 💬 Virtual Assistants: Powering intelligent chatbots and conversational AI for enhanced user interaction.
- ✍️ Content Generation: Automating the creation of diverse textual content, from articles to marketing copy.
- ⚙️ Task Automation: Facilitating automated text-based tasks, optimizing workflows for businesses and developers.
While primarily optimized for English language tasks, the model may also offer some support for other languages.
📚 Technical Specifications & Insights
Architecture
The GPT-3.5 Turbo Instruct model is fundamentally built upon the robust GPT-3.5 architecture. It incorporates critical enhancements specifically aimed at improving instruction-following capabilities and diligently reducing the generation of harmful or factually incorrect outputs.
Training Data & Knowledge Cutoff
Its comprehensive training dataset encompasses a vast array of sources, including extensive web pages, diverse books, and other online resources. The model's knowledge base is current up to September 2021. This broad dataset enables the GPT-3.5 Turbo Instruct to tackle a wide spectrum of tasks with impressive accuracy and speed.
Diversity and Bias Considerations
OpenAI actively addresses issues of diversity and potential bias within its training data. However, inherent biases may still be present, as is common with any large language model of this scale.
Performance Metrics
The model has consistently demonstrated strong performance across various benchmarks, excelling in areas such as accuracy, processing speed, and overall robustness. Its instruction-following abilities are notably superior compared to previous iterations.
🔒 Usage & Ethical Guidelines
API Integration
Developers can integrate the GPT-3.5 Turbo Instruct model via the legacy Completions endpoint. For specific API examples and implementation details, refer to the OpenAI API documentation.
# Example usage (simplified for context)
import openai
response = openai.Completion.create(
model="gpt-3.5-turbo-instruct",
prompt="Write a short marketing slogan for a new coffee shop:",
max_tokens=50
)
print(response.choices[0].text.strip())Ethical AI Development
OpenAI maintains a strong commitment to the ethical development and deployment of its language models. Robust safeguards, including advanced content filtering mechanisms and clear responsible usage guidelines, are in place to mitigate potential risks of misuse.
Licensing
The GPT-3.5 Turbo Instruct model is available under commercial licensing terms. Detailed specifics regarding licensing and usage rights can be obtained directly from OpenAI.
❓ Frequently Asked Questions (FAQ)
Q1: What is GPT-3.5 Turbo Instruct primarily designed for?
A: It's optimized for direct instruction-following and text completion tasks, making it ideal for applications requiring precise and streamlined responses.
Q2: Does GPT-3.5 Turbo Instruct support chat-based interactions?
A: No, it is compatible with the legacy Completions endpoint and not designed for the newer Chat Completions endpoint used by models like GPT-3.5 Turbo.
Q3: What is the knowledge cutoff date for GPT-3.5 Turbo Instruct?
A: The model's training data includes information up to September 2021.
Q4: Who are the main beneficiaries of this model?
A: Software developers and businesses seeking to optimize workflows, automate content creation, and enhance virtual assistants will find it particularly valuable.
Q5: How does it differ from previous GPT-3 models?
A: It features key enhancements for improved instruction-following, reduced harmful outputs, and generally demonstrates superior performance in accuracy and speed.
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