VM-1: The Future of Large Action Models
What is VM-1?
VM-1 is the family of powerful agent models that we are building by leveraging the collective intelligence gathered through the ViralMind Training Gym. Designed to be the next frontier in Large Action Models (LAMs), VM-1 models will:
Empower agents to play games, complete tasks, and navigate complex interfaces.
Handle real-world work with fluid, human-like interactions.
The Vision
We aim to release two tiers of VM-1 models to serve both developers and businesses:
Open-Source Smaller Models:
Compact, efficient models for specific applications.
Ideal for developers who want to replace OCR modules in their existing pipelines.
Works as a plug-and-play extension for any LLM, supercharging its capabilities without needing to train a full LAM.
Foundational LAMs via API:
A larger VM-1 model available via API.
Trained on millions of action tokens for gaming, work automation, streaming, and more.
Powered by $VIRAL: Usage fees reinvested into marketing and growth, creating a self-sustaining ecosystem.
Potential Partnerships:
Collaboration opportunities with gaming studios, enterprise software providers, and crypto platforms to expand VM-1’s reach.
Strategic alliances to integrate VM-1’s capabilities into broader AI ecosystems, enhancing both adoption and impact of VM-1, and significantly enhancing the capabilities of interested agent frameworks.
Why VM-1?
For Gamers
Imagine an agent that can play games with you seamlessly—not just following commands but engaging in cooperative, competitive, or creative gameplay.
We'll train your agent to master specific games, genres, or strategies using your own data.
For Professionals
Replace repetitive, manual work with AI agents powered by VM-1.
Streamline tasks like form-filling, document processing, and more with foundational LAMs designed for real-world scenarios.
For Developers
Don’t have the resources to train a full LAM? Use VM-1 smaller models to upgrade your existing tools and frameworks. Alternatively, we allow you to Train your own agent!
Bridge the gap between text-based LLMs and computer-use functionality effortlessly.
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