Enterprise Plans
AI Application Development
AI Translator API
AI SEO/GEO Service
Web Scraping Service
Log in
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: 'x-ai/grok-beta',
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="x-ai/grok-beta",
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}")
-
AI Playground
Test all API models in the sandbox environment before you integrate.
We provide more than 300 models to integrate into your app.
Product Detail
Basic Information
- 🌟 Model Name: Grok-2
- 🛠️ Developer/Creator: xAI (founded by Elon Musk)
- 🗓️ Release Date: August 14, 2024 (Beta)
- 🚀 Version: Grok-2 Beta
- 🧠 Model Type: Language Model (LLM)
Overview
Grok-2 is an advanced language model designed to enhance conversational AI, coding assistance, and complex reasoning tasks. It represents a significant upgrade from its predecessor, Grok-1.5, and aims to compete with leading models like OpenAI's GPT-4 and Anthropic's Claude 3.5.
Key Features
- 💬 Superior conversational capabilities for nuanced dialogues.
- 💻 Enhanced coding support across multiple programming languages.
- 🧠 Advanced reasoning abilities for complex problem-solving tasks.
- ⚡ Real-time data integration from the X platform for current information.
- 🖼️ Image generation capabilities using the FLUX.1 model for realistic visuals.
Intended Use
Grok-2 is designed for applications in customer support, coding assistance, educational tools, and any scenario requiring sophisticated natural language understanding and generation. It can also be used for patient education, providing accurate, conversational responses, setting reminders, and simplifying medical terminology. Learn more about this and other models and their applications in Healthcare by visiting AI in Healthcare: Generative AI Uses and Examples.
Language Support
Primarily supports English but is capable of handling multiple languages effectively.
Technical Details
Architecture
Grok-2 employs a transformer-based architecture optimized for natural language processing tasks. Its design facilitates the management of extensive context windows, enabling coherent responses over longer interactions.
Training Data
The model was trained on a diverse dataset sourced from various platforms, including real-time data from the X social media platform. This corpus integrates text from books, articles, and web content, totaling several terabytes of data.
Data Source and Size
Grok-2's training involved scraping data from the web and leveraging user-generated content from the X platform. This strategy ensures a broad spectrum of topics and styles, enhancing the model's adaptability.
Knowledge Cutoff
The model has a knowledge cutoff in September 2023, meaning it lacks awareness of events or developments beyond that date.
Diversity and Bias
While the training dataset aims for diversity, inherent biases based on the sources used remain a concern. Ongoing evaluations are crucial to effectively mitigate these biases.
Performance Metrics
- ✅ Accuracy: Achieved an 88.4% score in coding evaluations, surpassing Grok-1.5's 74.1% and closely competing with Claude 3.5 Sonnet and GPT-4 Turbo.
- ⚡ Speed: Inference times are optimized in both Grok-2 and Grok-2 Mini versions for rapid responses.
- 🛡️ Robustness: Performs well across diverse topics with strong contextual understanding in complex dialogues.
Comparison to Other Models
The Grok-2 Beta model demonstrates solid performance when compared to several advanced AI models in the ELO ratings chart. A higher ELO score signifies better overall performance in tasks such as understanding and generating language. Grok-2 is ranked just below GPT-4o and Gemini 1.5 Pro, and is notably ahead of models like GPT 4o mini, Claude 3.5 Sonnet and Llama 3.1 405b, indicating its capability to effectively handle a diverse range of tasks.
Usage
Code Samples
The model is accessible on the
AI/ML API platform as "x-ai/grok-beta".
<snippet data-name="open-ai.chat-completion" data-model="x-ai/grok-beta"></snippet>
API Documentation
Detailed API Documentation is available here.
Ethical Guidelines
Grok's development adheres to ethical considerations regarding data usage and model deployment. xAI emphasizes responsible AI use while actively addressing potential misuse concerns related to its capabilities, particularly in image generation.
Licensing
Grok-2 is available under a commercial license. Non-commercial usage rights may be limited based on specific terms outlined by xAI.
Get Grok-2 Beta API
here.
Frequently Asked Questions (FAQs)
Q1: What is Grok-2 Beta?
A1: Grok-2 Beta is an advanced language model developed by xAI (Elon Musk's company), designed for sophisticated conversational AI, coding assistance, and complex reasoning tasks. It is a significant upgrade from Grok-1.5.
Q2: When was Grok-2 Beta released?
A2: Grok-2 Beta was officially released on August 14, 2024.
Q3: What are the key improvements in Grok-2 compared to its predecessor?
A3: Grok-2 features superior conversational capabilities, enhanced coding support across multiple languages, advanced reasoning, real-time data integration from the X platform, and image generation using the FLUX.1 model.
Q4: Does Grok-2 have a knowledge cutoff?
A4: Yes, Grok-2 has a knowledge cutoff in September 2023, meaning it is not aware of events or developments that occurred after that date.
Q5: How does Grok-2 compare to other leading AI models?
A5: Grok-2 Beta demonstrates strong performance in ELO ratings, ranking just below GPT-4o and Gemini 1.5 Pro, and notably ahead of models like GPT 4o mini, Claude 3.5 Sonnet, and Llama 3.1 405b, showcasing its competitive abilities across various tasks.
Learn how you can transformyour company with AICC APIs
