Learn with ZERO Examples? Few-Shot & Zero-Shot NLP Explained
Автор: Duniya Drift
Загружено: 2026-02-21
Просмотров: 9
Описание:
🧠 Can AI learn from ZERO examples? What about just 3?
In this episode, we break down Few-Shot and Zero-Shot Learning — the revolutionary techniques that let AI models classify, understand, and reason about things they've NEVER been trained on.
🔬 What You'll Learn:
00:00 — Hook: Humans vs Traditional ML (the 1 example problem)
00:45 — The Data Revolution: From 10K examples to ZERO
01:30 — Zero-Shot Learning: NLI trick, CLIP, and more
03:00 — Few-Shot Learning: In-context learning with GPT
04:15 — Prompt Engineering: The art of the perfect prompt
05:00 — The Twist: When few-shot FAILS spectacularly
06:30 — Your Decision Framework + Real-World Applications
📊 Key Stats:
• GPT-4 with just 5 examples matches models trained on 10,000+ on 23/30 benchmarks
• Zero-shot achieves 82% accuracy with ZERO labeled data
• Prompt sensitivity can swing accuracy from 42% to 91%
🎯 This is Video 3 of Unit 3: Advanced NLP Techniques
Part of our complete NLP mastery series from scratch → advanced.
📚 Full Playlist: • Fundamentals & Advanced NLP – Playlist
🔔 Subscribe for weekly deep dives into AI & NLP
#nlp #FewShotLearning #ZeroShotLearning #machinelearning #ai #gpt4 #promptengineering #deeplearning #artificialintelligence #naturallanguageprocessing
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