Prompt Engineering for LLMs
Master the art and science of crafting effective prompts to guide Large Language Models (LLMs) for various tasks, from content generation to complex reasoning. Learn techniques like zero-shot, few-shot, and chain-of-thought prompting.
360 courses
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Machine Input-Output Reasoning for Competitive Exams
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The Belt and Road Initiative: Geopolitics and Global Impact
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IC Engine Solved Questions for GATE Exam Preparation
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Computer Organisation and Architecture: Quick Review for CS Exams
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GATE Mechanical Engineering: Solving Exam-Style Questions
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Medium Access Control Fundamentals in Computer Networks
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Engineering Exam Prep: Solved Questions for GATE and BARC
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Machine Input-Output: Pattern Solving for Bank Exams
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OSSC Ayush Assistant Exam Preparation Guide
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Navigating the UGC NET Answer Key Challenge Process
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Mastering Machine Input-Output: Fast Reasoning Techniques
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Control Systems Engineering for GATE Prep
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Computer Language Engineering: Foundations of Compiler Design
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Professional Elm: Scaling Web Applications for Production
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Practical Prompt Engineering: Guide to Working with Large Language Models
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Controlling LLM Outputs: Temperature, Top P, and Prompt Engineering
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Prompt Engineering for Token Limits and Context Windows
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Practical Prompt Engineering: Mastering the Standard Prompt Pattern
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Practical Prompt Engineering for Coding Agents
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Python Algorithm Design: Build a Periodic Table Speller
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Zero-Shot Prompting: Practical Prompt Engineering for Beginners
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Model Context Protocol (MCP) Essentials: Integrating Tools with LLMs
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Model Selection and Practical Prompt Engineering
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Model Context Protocol: Managing Static Context with MCP Resources
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Showing 169–192 of 360 courses