NLP
Few-Shot Learning
Teaching an AI to understand a new task by showing it just a handful of examples, like learning from 3 sample emails.
Definition
The ability of a model to learn a new task from only a small number of labeled examples, typically 2-10. In LLMs, this is achieved by including examples in the prompt rather than retraining.
Why it matters
Dramatically reduces the data and time needed to adapt AI to new tasks, critical for rapid prototyping.
Related terms in NLP
BERT
Google's breakthrough AI model that reads sentences in both directions at once to understand context better.
Chain of Thought (CoT)
Asking an AI to "show its work" and think step-by-step, which makes it much better at solving math and logic problems.
Context Window
The maximum amount of text an AI can read and consider at one time, like how many pages of notes it can hold in its head.
Conversational AI
AI that can have natural back-and-forth conversations with humans, chatbots, voice assistants, and customer service bots.
From vocabulary to outcomes
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