Description
- Introduction to Prompt Engineering: What it is, why it matters, and its applications.
- Fundamentals of LLMs: How LLMs work, their strengths and limitations.
- Basic Prompting Techniques: Zero-shot, few-shot, and other foundational methods.
- Advanced Prompting Techniques: Chain-of-thought, tree-of-thought, and more sophisticated approaches.
- Prompt Design Principles: Clarity, specificity, context, and avoiding biases.
- Prompt Evaluation and Refinement: Iterative testing, analysis, and improvement.
- Prompt Engineering for Different Tasks: Text generation, translation, summarization, question answering, and more.
- Prompt Engineering for Different Models: Adapting prompts for specific LLMs and AI models.
- Applications of Prompt Engineering: Real-world use cases in various industries.
- Ethical Considerations: Bias, fairness, and responsible use of AI.
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