Outsmart

What is Outsmart ?

Outsmart is a unique chatbot application that enables users to pit different large language models (LLMs) against each other in a negotiation battle. This innovative tool allows you to compare and contrast the strengths, weaknesses, and strategies of various AI models in real-time, providing insights into their problem-solving capabilities and negotiation tactics.

Features

• Head-to-Head Negotiation Battles: Compete two or more LLMs against each other in a battlefield of wits.
• Customizable Scenarios: Define the terms of the negotiation, such as goals, constraints, and rewards.
• Real-Time Interaction: Engage with the AI models as they negotiate, providing feedback or adjusting parameters on the fly.
• Detailed Battle Logs: Access a record of negotiations, including strategies, counteroffers, and outcomes for analysis.
• Performance Insights: Gain a deeper understanding of each LLM's strengths and weaknesses through post-battle summaries.

How to use Outsmart ?

1. Access the Platform: Launch the Outsmart application or tool.
2. Select AI Models: Choose the LLMs you want to compete against each other.
3. Define Negotiation Parameters: Set the scenario, including the objective, rules, and any constraints.
4. Initiate the Battle: Start the negotiation and observe how each LLM responds and adapts.
5. Analyze Results: Review the battle logs and insights to determine which LLM performed best.

Frequently Asked Questions

What is the purpose of Outsmart?
Outsmart is designed to evaluate and compare the negotiation capabilities of different AI models. It provides a fun and engaging way to test their strategic thinking and problem-solving skills.

Can I customize the negotiation scenarios?
Yes, Outsmart allows full customization of scenarios, enabling you to tailor negotiations to specific contexts or challenges.

Is Outsmart suitable for non-experts?
Absolutely! Outsmart is user-friendly and accessible to anyone interested in exploring AI capabilities, even without prior technical expertise.