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VentureBeat
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Which LLM should you use? Token Monster automatically combines multiple models and tools for you
- Token Monster is a new AI chatbot platform that aims to change how users interact with large language models (LLMs).
- Developed by Matt Shumer, Token Monster routes user prompts to the best available LLMs for enhanced outputs by leveraging multiple models.
- The platform uses seven major LLMs, automatically analyzing user input and selecting the most suitable models for each prompt.
- Token Monster eliminates the need for manual model selection by users, simplifying the process for tailored results.
- The alpha preview of Token Monster is currently free to sign up for, offering features like webpage extraction and persistent conversation sessions.
- With OpenRouter at its core, Token Monster can access various models without building separate integrations for each provider.
- Users pay for the tokens they consume through OpenRouter, offering flexibility based on usage levels.
- Token Monster's workflows involve multi-step orchestration to provide comprehensive answers using various LLMs and tools.
- The platform enables users to save sessions with data securely stored using Supabase, ensuring project continuity and data control.
- Token Monster's potential integration with Model Context Protocol servers could allow for higher-order tasks beyond text or image generation.
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