Interact with multiple chatbots simultaneously
Engage in chat with Llama-2 7B model
Example on using Langfuse to trace Gradio applications.
NovaSky-AI-Sky-T1-32B-Preview
Generate detailed, refined responses to user queries
Chat with a friendly AI assistant
Generate detailed step-by-step answers to questions
Communicate with an AI assistant and convert text to speech
Send messages to a WhatsApp-style chatbot
Chat with images and text
This is open-o1 demo with improved system prompt
Engage in intelligent chats using the NCTC OSINT AGENT
Interact with NCTC OSINT Agent for OSINT tasks
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.