Lecture 8 - Prompt Engineering Techniques (Zero-shot, One-shot, Few-shot, CoT & ToT) with LangChain
Автор: NeuroVed
Загружено: 2025-12-07
Просмотров: 30
In this lecture, we dive deep into Prompt Engineering Techniques for LLMs using LangChain.
We explore:
Zero-shot, One-shot, and Few-shot prompting
Chain of Thought (CoT) prompting
Tree of Thought (ToT) prompting
Role-based prompting
Best practices for choosing the right technique based on complexity & cost
This session also covers practical coding demonstrations in LangChain and highlights how prompt engineering directly impacts accuracy, cost, and efficiency when building real-world GenAI applications.
👉 GitHub Code & Notebooks:
🔗 Lecture 8 Resources on GitHub
Don’t forget to ⭐ the repo and practice the notebooks!
#LangChain #PromptEngineering #GenAI #LLM #ZeroShot #FewShot #ChainOfThought #TreeOfThought #ArtificialIntelligence #OpenAI #AICoding
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