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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: 'databricks/dolly-v2-12b',
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="databricks/dolly-v2-12b",
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
Unleashing Precision with Dolly v2 (12B)
✓ Dolly-v2-12b, a 12-billion parameter language model by Databricks, is specifically engineered to interpret and execute complex instructions with remarkable accuracy. Built upon the robust Pythia-12b architecture, this model has undergone specialized fine-tuning on a dataset comprising approximately 15,000 unique instruction-response pairs. While not designed to be a generalist SOTA model, Dolly-v2-12b excels in tasks requiring precise instruction following, making it an invaluable tool for targeted applications.
★ Key Applications & Use Cases
Dolly-v2-12b is ideally suited for sectors where contextual accuracy and precise language generation are paramount. Its capabilities span across a multitude of applications:
- ● Content Creation: Generate creative narratives, marketing copy, or detailed articles.
- ● Customer Support: Provide accurate, context-aware responses to user queries.
- ● Data Analysis: Efficiently perform summarization and information extraction from large texts.
- ● Q&A Systems: Handle both open-ended and closed questions with high fidelity.
- ● Brainstorming: Assist in idea generation for various projects.
ℹ What Makes Dolly v2-12b Unique?
Unlike many foundational large language models, Dolly-v2-12b's training paradigm prioritizes instruction following. This specialized focus allows it to deliver exceptionally high-quality outputs specifically tailored to user commands, often outperforming general-purpose models in instructed tasks. Its ability to provide surprisingly relevant and precise responses distinguishes it in the rapidly evolving AI landscape.
🔧 Maximizing Efficiency & Results
To achieve optimal performance from Dolly-v2-12b, consider the following:
- ➤ Leverage Instruction Pipelines: Utilize the model’s built-in instruction pipelines for streamlined task execution.
- ➤ Ensure System Compatibility: Verify that your hardware meets the model's memory and processing requirements.
- ➤ Adhere to Operational Guidelines: Operating within recommended parameters ensures maximum efficiency and accuracy.
Crafting Clear Instructions: The quality of Dolly-v2-12b's output is directly proportional to the clarity and detail of your input instructions. Meticulously structured prompts help the model better understand and execute the desired task, leading to superior results.
💻 API Integration for Advanced Tasks
Dolly-v2-12b supports various API configurations to cater to diverse application needs:
- ✓ Rapid Response Generation: Ideal for applications requiring quick, single-turn interactions.
- ✓ Complex Multi-Turn Interactions: Suitable for intricate conversations or sequential task execution.
Understanding the distinct capabilities of each API call type is crucial for seamless integration and optimal performance within your applications.
Integrating Dolly-v2-12b via APIs can significantly enhance applications demanding precise instruction following and sophisticated text generation. From crafting detailed reports and creative content to providing accurate answers to complex queries, Dolly-v2-12b is a versatile solution for a wide array of text-based tasks.
☑ Frequently Asked Questions (FAQs)
Q1: What is Dolly-v2-12b primarily used for?
A1: Dolly-v2-12b is primarily used for tasks requiring precise instruction following, such as content creation, summarization, information extraction, and question answering across various industries.
Q2: How does Dolly-v2-12b differ from other large language models?
A2: Its distinction lies in its specialized training on instruction-response pairs, prioritizing instruction following over general language tasks, which allows it to deliver highly accurate and tailored outputs.
Q3: What are the key factors for maximizing Dolly-v2-12b's efficiency?
A3: Maximizing efficiency involves utilizing provided instruction pipelines, ensuring system compatibility (memory, processing power), and, most importantly, crafting clear and detailed input instructions.
Q4: Can Dolly-v2-12b handle complex interactions through its API?
A4: Yes, Dolly-v2-12b supports various API setups, including those designed for complex, multi-turn interactions, making it adaptable for sophisticated application requirements.
Q5: Is Dolly-v2-12b suitable for creative tasks?
A5: Absolutely. Its ability to follow instructions precisely makes it highly effective for creative content generation, brainstorming, and crafting unique narratives.
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