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LLM Prompting & Reasoning Strategies

In this video, we explore effective LLM prompting and reasoning strategies to get better responses from large language models. 🔹 Learn the difference between: Zero-Shot Prompting Few-Shot Prompting Reflection Self-Consistency Chain of Thought (CoT) ReAct (Reason + Act) We’ll also cover: ✔️ How to structure a complete prompt (instructions, content, examples, output format) ✔️ When to use different strategies depending on the task (simple Q&A, math/logical reasoning, tool usage, etc.) ✔️ System instructions for building LLM-based agents Whether you’re a beginner or an advanced user, these techniques will help you design prompts that produce more accurate, reliable, and useful outputs. 👉 Watch till the end for real examples and a full breakdown of prompt engineering best practices. #LLM #PromptEngineering #AI #Reasoning