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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: 'togethercomputer/mpt-30b-chat',
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="togethercomputer/mpt-30b-chat",
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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Product Detail
MPT-Chat (30B): An Advanced Open-Source Language Model for Diverse NLP Tasks
The MPT-Chat (30B) model, developed by MosaicML (part of Databricks) and launched on June 22, 2023, represents a significant advancement in open-source text-based language models. This initial release is meticulously engineered to excel across a broad spectrum of natural language processing (NLP) tasks, with a core focus on efficiency, scalability, and strict adherence to ethical AI principles.
🔑 Unlocking Potential: Key Features of MPT-Chat (30B)
- ✅ Architecture: Employs a robust decoder-only transformer architecture.
- ✅ Extensive Parameters: Boasts a large model size with 30 billion parameters for deep language understanding.
- ✅ Large Context Window: Capable of processing a context window of up to 8,192 tokens, facilitating complex conversational flows.
- ✅ Advanced Optimizations: Integrates innovative techniques such as FlashAttention for efficient attention computation and ALiBi for enhanced positional biases, improving scalability and performance.
💻 Designed for Innovation: Intended Applications of MPT-Chat (30B)
MPT-Chat (30B) is specifically tailored to excel in a variety of key applications:
- • Open-ended Text Generation: Creating coherent, contextually relevant, and creative text.
- • Question Answering: Delivering accurate and insightful answers to user queries.
- • Summarization: Efficiently distilling large volumes of text into concise summaries.
- • Code Completion: Assisting developers by suggesting and completing code snippets.
Although detailed language support specifics are not fully enumerated, the model's vast training data typically encompasses major global languages.
💾 Deep Dive: Technical Architecture & Training Parameters
Architecture:
MPT-Chat (30B) is built upon a decoder-only transformer architecture, drawing parallels with established GPT models. Its design is significantly bolstered by contemporary techniques like FlashAttention, which streamlines attention computations, and ALiBi, which enhances positional biases for superior scaling and overall performance.
Training Data & Knowledge Cutoff:
The model was trained on an expansive and meticulously curated dataset comprising 1 trillion tokens. This colossal dataset encompasses a diverse array of internet text, ensuring broad relevance and comprehensive coverage across various domains.
MPT-Chat (30B)'s knowledge base reflects information available up to its last training cut-off, which was in early 2023.
Diversity and Ethical AI Commitment:
Developed under stringent constitutional AI principles, MPT-Chat (30B) is engineered to align closely with human values and actively mitigate biases. It undergoes rigorous testing to detect and address any unintended biases, underscoring a strong commitment to responsible AI development.
📊 Performance Benchmarks & Robustness
- Accuracy: While precise metrics are not publicly specified, MPT-Chat (30B) is engineered to deliver performance comparable to other leading models of similar scale.
- Speed: The model is highly optimized for real-time applications, leveraging efficient training methods to ensure rapid response times.
- Robustness: MPT-Chat (30B) demonstrates exceptional zero-shot and few-shot learning capabilities, enabling it to adapt effectively across diverse tasks and languages without extensive fine-tuning.
🗃️ Developer Usage & Open-Source Licensing
For developers looking to integrate MPT-Chat (30B) into their projects, standard code samples and integration guidance are available. An example of typical implementation might involve snippets such as:
<snippet data-name="open-ai.chat-completion" data-model="togethercomputer/mpt-30b-chat"></snippet>Ethical Guidelines: Integral to its development are comprehensive ethical guidelines, emphasizing responsible AI deployment and proactive bias mitigation strategies.
License Type: MPT-Chat (30B) is freely available under the Apache 2.0 license, granting broad permissions for both commercial and non-commercial utilization.
🏆 Conclusion: Setting a New Benchmark for Open-Source LLMs
MPT-Chat (30B) represents a significant milestone in the open-source language model landscape. It uniquely blends substantial large-scale machine learning capabilities with a steadfast commitment to ethical AI practices, thereby establishing a new benchmark for the industry. This makes it an indispensable asset for developers, researchers, and organizations within the global AI community dedicated to fostering responsible innovation.
Frequently Asked Questions (FAQ)
Q1: What is MPT-Chat (30B) and who developed it?
A1: MPT-Chat (30B) is an advanced, open-source text-based large language model created by MosaicML, which is part of Databricks. It was released on June 22, 2023.
Q2: What are the core technical specifications of MPT-Chat (30B)?
A2: It features a decoder-only transformer architecture with 30 billion parameters, supports an extensive context window of up to 8,192 tokens, and incorporates FlashAttention and ALiBi for enhanced efficiency.
Q3: What are the primary applications for MPT-Chat (30B)?
A3: It is ideally suited for tasks such as open-ended text generation, sophisticated question answering, effective summarization, and aiding developers with code completion.
Q4: Is MPT-Chat (30B) available for commercial use?
A4: Yes, MPT-Chat (30B) is distributed under the Apache 2.0 license, which explicitly permits both commercial and non-commercial applications.
Q5: How does MPT-Chat (30B) address concerns regarding bias and ethical AI?
A5: The model was developed following constitutional AI principles, emphasizing alignment with human values and undergoing rigorous testing and mitigation efforts to minimize biases and ensure responsible AI use.
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