Grok

Grok is a generative AI chatbot developed by xAI that engages in witty and rebellious conversations. It offers a unique alternative to other AI chatbots by leveraging real-time data from the social media platform X (formerly Twitter).

Key features:
- Conversational AI: Generates text and engages in conversations with users, offering "Fun Mode" for humorous responses and "Regular Mode" for more accurate answers
- Real-time knowledge: Accesses posts made on X to provide up-to-date information and updates
- Multimodal capabilities: Processes and understands information from text, images, documents, diagrams, charts, screenshots, and photos (Grok-1.5 Vision)
- Improved reasoning: Tackles complex coding and math challenges more effectively than predecessors (Grok-1.5)
- Long context understanding: Supports a context length of 128,000 tokens for handling longer and more complex interactions (Grok-1.5)

How it works:
Users can access Grok by subscribing to the Premium+ plan on X. They can input text and images to receive text-based answers. Grok is built using a custom tech stack that includes Kubernetes, JAX, and Rust, allowing for efficient distributed training across massive computer clusters. It is trained on a variety of text data from publicly available sources on the internet and real-time data from X.

Integrations:
Grok is integrated with X, leveraging real-time data from the platform to enhance its responses. PromptIDE, an integrated development environment released by xAI, provides an SDK for implementing complex prompting techniques and supports concurrent execution of prompts for improved performance.

Use of AI:
Grok utilizes generative AI capabilities to engage in conversations, process multimodal inputs, and provide real-time information based on data from X.

AI foundation model:
Grok is based on a large language model with 314 billion parameters (Grok-1). Grok-1.5V is xAI's first multimodal model, capable of processing both text and visual information.

How to access:
Grok is primarily available as a web app through the X platform. The base model and weights are available on GitHub and Hugging Face for developers and researchers.