Interact with multiple chatbots simultaneously
ChatBot Qwen
Login to access chatbot features
Qwen-2.5-72B on serverless inference
AutoRAG Optimization Web UI
Communicate with an AI assistant and convert text to speech
Example on using Langfuse to trace Gradio applications.
Chat with AI with β‘Lightning Speed
Interact with NCTC OSINT Agent for OSINT tasks
Chat with a friendly AI assistant
Generate text and speech from audio input
Chat with a Japanese language model
Interact with a Korean language and vision assistant
Keras Chatbot Battle is a platform designed for interacting with multiple chatbots simultaneously. It allows users to compare and evaluate different chatbot models in real-time, providing a unique environment for testing and analyzing AI-driven conversational systems. This tool is particularly useful for developers, researchers, and enthusiasts looking to benchmark chatbot performance or explore various AI personalities.
What are the system requirements for Keras Chatbot Battle?
Keras Chatbot Battle requires a compatible Python environment with necessary libraries installed, including Keras and TensorFlow.
Can I customize the chatbots used in the battle?
Yes, users can integrate custom chatbot models or select from pre-built models available in the platform.
How does the performance analytics work?
The platform tracks response times and provides a side-by-side comparison of accuracy and relevance based on user inputs.