OpenSeeker's open-source approach aims to break up the data monopoly for AI search agents
With just 11,700 training data points and a single training run, the AI search agent OpenSeeker achieves results that rival solutions from Alibaba and others. Data, code, and model are all openly accessible.<br /> The article OpenSeeker's open-source approach aims to break up the data monopoly for AI search agents appeared first on The Decoder. [...]
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Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly.The Nvidia CEO unveiled the Agent Toolkit, [...]
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