iAgent Protocol Unveils Revolutionary Human-Trained AI-Agent from Visual Data
in Taiwan this month, allowing gamers around the world to create, train, trade, and monetize personalized game AI-agents that take the NPCs of the past to a whole new level. iAgent protocol has developed the world’s first AI-agent trained from pro-players’ gameplay footage in. This new AI asset class has the potential to spur a renaissance of innovation and growth within the gaming industry.
At both MBW and ABS, attendees received a first look at the revolutionary new class of digital gaming assets. iAgent Protocol presented new technology on August 1st and 6th, which uses AI Modules to train gaming characters based on gameplay footage. Their presentation featured an iAgent trained from the video footage of Flaxciz, a professional CS player from
iAgents are here to not only rehaul the outdated NPCs of the gaming world, but also to empower all gamers within the ecosystem. Any user can train an AI-agent with the gameplay footage and then trade, rent, and monetize their personal game agents. Whether it's a casual gamer playing with friends, or an entire studio wanting to add world-class human-trained AI characters to their game, iAgent offers new solutions and possibilities.
By creating the world’s first AI-agent trained on a pro esports player footage, iAgent is aiming to alter the landscape and future of gaming. The tools used to create this groundbreaking digital asset and gaming character will soon be available to everyone in the gaming ecosystem. A player only needs gameplay footage to develop their own AI-agent.
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