Introduction to Prompt Engineering
Prompt engineering is the art of designing and refining inputs for large language models. By crafting clear, specific prompts, you can guide these models to produce better outputs. Learn more about key terms like tokens Tokens are the individual pieces of text that models use to process input. and models Large language models (LLMs) generate text based on the prompts provided. .
Deep learning breakthroughs set the stage for AI language models.
Transformer architectures revolutionize natural language processing.
Prompt engineering emerges as a vital skill.
Prompt engineering becomes mainstream in workplace applications.
Tokenization Demo
Enter a sentence to see how it is tokenized:
Structuring Prompts
Effective prompts have a clear structure: context, instructions, and examples. Compare a simple prompt with one that offers detailed guidance.
Before
"Tell me about dogs."
After
"Provide a detailed summary of the history, common breeds, and care tips for dogs."
Word Choice & Language Nuance
Choose the best word to complete the prompt:
Prompt: "Explain the _____ of prompt engineering."
Retrieval Augmented Generation (RAG)
RAG combines the retrieval of relevant data with generation techniques to produce more accurate outputs. Click the button below to simulate a RAG process.
Interactive Lab
Try crafting your own prompt and see simulated model feedback:
Resources & Feedback
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