Engage in conversations with a multilingual language model
Vision Chatbot with ImgGen & Web Search - Runs on CPU
Chat Long COT model that uses tags
Interact with PDFs using a chatbot that understands text and images
Start a chat to get answers and explanations from a language model
Run Llama,Qwen,Gemma,Mistral, any warm/cold LLM. No GPU req.
Compare chat responses from multiple models
Generate chat responses from user input
Chat with an AI that solves complex problems
Bored with typical gramatical correct conversations?
Test interaction with a simple tool online
Chat with PDF documents using AI
Chat with a friendly AI assistant
C4AI Aya 23 - 35B is an advanced multilingual conversational AI model designed to engage in natural and context-aware discussions. It is part of the C4AI Aya series, known for its robust language understanding and generation capabilities. This model is optimized for a wide range of applications, including customer service, content creation, and interactive chatbots. With 35 billion parameters, it offers high accuracy and relevance in multilingual contexts, making it a versatile tool for diverse use cases.
• Multilingual Support: Capable of understanding and generating text in multiple languages, enabling global communication.
• Contextual Understanding: Advanced ability to comprehend and respond to complex queries with high precision.
• Versatility: Suitable for various industries, including customer support, education, and entertainment.
• Efficiency: Optimized for performance, ensuring quick and accurate responses.
• Scalability: Designed to handle large-scale applications with ease.
What languages does C4AI Aya 23 - 35B support?
C4AI Aya 23 - 35B supports multiple languages, allowing for seamless communication across linguistic boundaries.
Can this model handle complex tasks?
Yes, with its 35 billion parameters, it is capable of handling complex and nuanced tasks with high accuracy.
Is C4AI Aya 23 - 35B suitable for real-time applications?
Absolutely! The model is optimized for efficiency, making it ideal for real-time applications requiring quick and accurate responses.