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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: 'OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5',
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="OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
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}")
Product Detail
🤖 Explore Open-Assistant Pythia SFT-4 (12B): Advanced Conversational AI
The Open-Assistant Pythia SFT-4 (12B) stands as the fourth iteration of a highly capable English supervised fine-tuning (SFT) model, meticulously developed by the Open-Assistant project. This sophisticated model is grounded in the robust Pythia 12B architecture and has been extensively fine-tuned on high-quality human demonstrations of assistant conversations. These valuable interactions were meticulously collected through the open-assistant.io human feedback web app, ensuring its remarkable ability to understand and generate human-like text for diverse applications.
💻 Model Name:
Open-Assistant Pythia SFT-4 (12B)
👨💻 Developer/Creator:
Open-Assistant Contributors
📅 Release Date:
March 25, 2023 (or earlier)
✨ Key Features of Pythia SFT-4 (12B)
- • Large Language Model: Boasting 12 billion parameters, enabling sophisticated natural language processing.
- • High-Quality Fine-Tuning: Leverages extensive human-generated conversations for superior performance.
- • Human-like Text Generation: Capable of understanding context and producing highly coherent and natural text.
- • Assistant-Oriented Design: Specifically optimized for engaging and effective assistant-like interactions.
- • English Language Support: Fully proficient in handling English language tasks and conversations.
🚀 Intended Use Cases for Pythia SFT-4 (12B)
The Open-Assistant Pythia SFT-4 (12B) is purpose-built for a variety of natural language processing (NLP) tasks, with a particular emphasis on powering next-generation AI assistants. Its advanced capabilities make it an excellent choice for developers looking to build applications that can:
- ✅ Engage users in highly realistic and fluid human-like conversations.
- ✅ Provide accurate and contextually relevant answers to a broad spectrum of questions.
- ✅ Automate and enhance various language-related tasks, from content generation to data summarization.
This model is a versatile tool for enhancing user interaction in diverse digital environments.
🔧 Technical Specifications & Training Overview
Architecture:
GPTNeoXForCausalLM (Transformer-based)
Base Model:
EleutherAI / pythia-12b-deduped
Parameters:
12 Billion
📄 Training Data Insights
- • Data Source: Comprises extensive human demonstrations of assistant conversations.
- • Collection Method: Collected via the innovative open-assistant.io human feedback web app.
- • Data Diversity: Features a wide array of conversational topics, simulating real-world assistant interactions.
- • Data Cut-off: All training data was collected prior to March 25, 2023.
📊 Performance Expectations
While specific quantitative performance metrics are not publicly detailed, the model's specialized supervised fine-tuning on high-quality human conversational data indicates an expectation of strong performance across various assistant-like natural language tasks.
💻 Integrating Open-Assistant Pythia SFT-4 (12B)
Utilizing the Open-Assistant Pythia SFT-4 (12B) in your applications is designed for seamless integration. The model can be readily incorporated for diverse text generation and conversational AI functionalities.
📈 Example Code Snippet
# Conceptual example for integration # Specifics may vary based on chosen platform/library from transformers import pipeline # Initialize the text generation pipeline generator = pipeline("text-generation", model="OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5") # Define a prompt for the AI assistant prompt = "User: Explain quantum entanglement in simple terms. Assistant:" # Generate the AI's response response = generator(prompt, max_new_tokens=100, num_return_sequences=1) # Output the generated text print(response[0]['generated_text']) Note: The provided code snippet is illustrative. For actual deployment and usage, refer to the official Open-Assistant documentation or relevant Hugging Face Transformers library guides.
🚨 Ethical Guidelines for Responsible AI Use
Users of the Open-Assistant Pythia SFT-4 (12B) are strongly advised to adhere to ethical principles and practice responsible AI usage. This ensures the model contributes positively and avoids unintended negative consequences.
- ⚠ Acknowledge Potential Biases: Be aware that model outputs may reflect biases present in its extensive training data. Regular auditing and mitigation strategies are recommended.
- ⚠ Prevent Harmful Applications: Rigorously avoid deploying the model in ways that could facilitate discrimination, generate harmful content, or infringe upon privacy and human rights.
- ⚠ Maintain Transparency: When used in user-facing applications, clearly communicate that users are interacting with an AI system.
Responsible deployment is key to harnessing the full potential of this powerful AI model for societal benefit.
📜 Licensing Information
The Open-Assistant Pythia SFT-4 (12B) model is distributed under the highly permissive and business-friendly Apache 2.0 License. This robust open-source license provides extensive freedoms for users, including:
- ✅ Commercial Use: Freely integrate the model into commercial products and services.
- ✅ Non-Commercial Use: Utilize the model for personal projects, research, and non-profit initiatives without restriction.
The Apache 2.0 License fosters widespread adoption, innovation, and community contribution around this advanced AI model.
💭 Frequently Asked Questions (FAQ)
Q1: What is Open-Assistant Pythia SFT-4 (12B) designed for?
A1: It's an advanced English language model specifically fine-tuned for conversational AI tasks, aiming to create highly human-like and interactive assistants.
Q2: What is the underlying architecture of this model?
A2: It is based on the Pythia 12B architecture, specifically utilizing the GPTNeoXForCausalLM (Transformer-based) framework.
Q3: How was the model trained?
A3: The model was fine-tuned on a substantial dataset of human demonstrations of assistant conversations, collected via the open-assistant.io web app.
Q4: Can Open-Assistant Pythia SFT-4 (12B) be used for commercial projects?
A4: Yes, it is released under the Apache 2.0 License, which explicitly permits both commercial and non-commercial use.
Q5: What ethical considerations should users be aware of?
A5: Users should be mindful of potential biases in the model's outputs and commit to responsible usage, avoiding applications that could lead to harm or discrimination.
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