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AI for Developers

Zero-Shot and Few-Shot Learning

Topics Covered

Level :

Expert

Zero-shot and few-shot theory, LLM adaptation

Course Summary

Implement learning strategies for models with minimal data.

Course Description

This course focuses on enabling models to generalize from little or no training data. Learn how to structure prompts, select examples, and adapt LLMs to new tasks with minimal overhead.

Learning Modules

Module 1: Conceptual Foundations: Explore the logic behind zero- and few-shot learning.
Module 2: Prompt Engineering: Design effective example-driven inputs.
Module 3: Task Generalization: Extend LLM capabilities to unseen domains.

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