GPT few-shot learning refers to the ability of Generative Pre-trained Transformer (GPT) models to learn and generalize from a small number of examples or training instances, also known as “few-shot learning.” In the context of GPT models like GPT-3, few-shot learning demonstrates the model’s capacity to understand and perform tasks with very limited guidance or additional training.
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ChatGPT Third-Party Plugins
In the context of ChatGPT or other conversational AI agents, “plugins” could be understood as additional components, integrations, or customizations that extend the capabilities of the AI agent.
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