Welcome to the comprehensive guide on Prompt Engineering. This series covers everything you need to know to get the most out of modern LLMs like GPT-4, Claude, and Gemini.
Course Modules
- Basics of Prompting — /blog/prompt-engineering/introduction/basics-of-prompting
- LLM Settings — /blog/prompt-engineering/introduction/llm-settings
- Prompt Elements — /blog/prompt-engineering/introduction/elements
- General Tips — /blog/prompt-engineering/introduction/tips
- Prompt Examples — /blog/prompt-engineering/introduction/examples
Prompting Techniques
Advanced methods to improve reasoning, formatting, and reliability of large language models.
- Zero-Shot Prompting — /blog/prompt-engineering/techniques/zero-shot
- Few-Shot Prompting — /blog/prompt-engineering/techniques/few-shot
- Chain-of-Thought — /blog/prompt-engineering/techniques/cot
- Meta Prompting — /blog/prompt-engineering/techniques/meta-prompting
- Self-Consistency — /blog/prompt-engineering/techniques/self-consistency
- Generated Knowledge — /blog/prompt-engineering/techniques/generated-knowledge
- Prompt Chaining — /blog/prompt-engineering/techniques/prompt-chaining
- Tree of Thoughts — /blog/prompt-engineering/techniques/tot
- Active-Prompt — /blog/prompt-engineering/techniques/active-prompt
- ReAct — /blog/prompt-engineering/techniques/react
- Reflexion — /blog/prompt-engineering/techniques/reflexion
- Multimodal CoT — /blog/prompt-engineering/techniques/multimodal-cot
What We'll Cover
- Prompt Fundamentals: Understanding zero-shot, few-shot, and role-based prompting.
- Advanced Techniques: Chain-of-Thought, ReAct, and Instruction Tuning.
- LLM Settings: Mastering temperature, top-p, and frequency penalties.
- Building Agents: Leveraging tool use and function calling to create agentic systems.
- Evaluation & Security: Measuring prompt performance and defending against prompt injection.