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коллективное принятие решений

  • Compare AI models side-by-side effortlessly.
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    What is thisorthis.ai?
    ThisOrThis.ai is an innovative platform designed to simplify the comparison of AI-generated responses. Users can input prompts and generate outputs from multiple AI models, enabling side-by-side evaluations. This unique feature fosters community-driven feedback and collaborative decision-making by allowing users to share their findings and vote on the preferred responses. It’s perfectly suited for AI enthusiasts, developers, and researchers looking to understand the nuances and capabilities of different AI models.
    thisorthis.ai Core Features
    • Side-by-side AI comparison
    • Community-driven voting
    • Instant response sharing
    • Multiple AI model integration
    thisorthis.ai Pro & Cons

    The Cons

    Not powered by AI technology
    Limited functionality beyond user preference collection
    No advanced decision support features

    The Pros

    Easy to use interface for quick comparison
    Engaging interactive platform for decision making
    Helps users make choices in a straightforward manner
    thisorthis.ai Pricing
    Has free planNo
    Free trial details
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency

    Details of Pricing Plan

    Credit Top-up Minimum

    20 USD
    • 2000 credits
    • Use credits to pay per model usage
    • No subscriptions or commitments
    For the latest prices, please visit: https://thisorthis.ai
  • ThreeAgents is a Python framework that orchestrates interactions among system, assistant, and user AI agents via OpenAI.
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    What is ThreeAgents?
    ThreeAgents is built in Python, leveraging OpenAI's chat completions API to instantiate multiple AI agents with distinct roles (system, assistant, user). It provides abstractions for agent prompting, role-based message handling, and context memory management. Developers can define custom prompt templates, configure agent personalities, and chain interactions to simulate realistic dialogues or task-oriented workflows. The framework handles message passing, context window management, and logging, enabling experiments in collaborative decision-making or hierarchical task decomposition. With support for environment variables and modular agents, ThreeAgents allows seamless swapping between OpenAI and local LLM backends, facilitating rapid prototyping of multi-agent AI systems. It ships with example scripts and Docker support for quick setup.
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