AI, LLM Training, and Operations Efficiency

Meta-Training Phase: The model is exposed to various tasks, each designed to simulate the few-shot learning scenario. It learns from these tasks to develop a strategy for quick adaptation.
Meta-Testing Phase: The model is then tested on new tasks to evaluate how well it can apply the learned strategy to classify new data with minimal examples.

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Outsourcing as a Founder: The Superpower of Effective Delegation

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