Engage in conversations with a multilingual language model
Chatgpt but free
Generate conversational responses to text input
Generate text chat conversations using images and text prompts
ChatBot Qwen
This Chatbot for Regal Assistance!
llama.cpp server hosting a reasoning model CPU only.
Ask legal questions to get expert answers
Display chatbot leaderboard and stats
AutoRAG Optimization Web UI
Bored with typical gramatical correct conversations?
Meta-Llama-3.1-8B-Instruct
Chat with GPT-4 using your API key
C4AI Aya 23 - 35B is a state-of-the-art multilingual chatbot designed to engage in conversations across multiple languages. Powered by a large language model with 35 billion parameters, it offers advanced conversational capabilities, making it suitable for a wide range of applications, including customer service, language translation, and social interactions. This model is part of the C4AI suite of AI tools, known for their innovation and versatility in handling complex tasks.
• Multilingual Support: Engage in conversations in multiple languages seamlessly.
• Large Language Understanding: With 35 billion parameters, Aya 23 - 35B can process and understand complex queries effectively.
• Real-Time Responses: Provides quick and accurate answers to user inputs.
• Contextual Intelligence: Maintains context throughout conversations for more meaningful interactions.
• Customizable Options: Allows users to tailor responses based on specific needs or preferences.
• User-Friendly Interface: Designed for ease of use, accessible via various platforms and devices.
What languages does C4AI Aya 23 - 35B support?
C4AI Aya 23 - 35B is designed to handle multiple languages, including but not limited to English, Spanish, French, German, Italian, and many others.
How does Aya 23 - 35B differ from other chatbots?
Aya 23 - 35B stands out due to its large-scale model architecture and advanced multilingual capabilities, enabling more natural and nuanced conversations compared to smaller models.
Can I customize the responses from Aya 23 - 35B?
Yes, users can customize responses by providing specific prompts, setting parameters, or fine-tuning the model for particular use cases.