A prompt is not a conversation. It's a component contract.
The article discusses the importance of prompt engineering in working with Large Language Models (LLMs). It outlines the structure of effective prompts and emphasizes the need for clarity, context, precision, and role-play in prompt design. Additionally, it highlights the different audiences for LLM outputs and the necessity of controlling output format and behavior for optimal results.
- ▪A prompt is any input given to a generative model to produce a desired output.
- ▪Prompt engineering involves designing and refining prompts to achieve the best results from LLMs.
- ▪Effective prompts should be clear, provide context, state precise expectations, and consider the role of the model.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 492159) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Carlos Saldaña Posted on May 25 A prompt is not a conversation. It's a component contract. #promptengineering #ai #llm #programming Most of us use LLMs by trial and error. This post gives you a structure: the building blocks of an LLM, and a reusable template for writing production prompts. What is an LLM? Foundation models are very large models pretrained on internet-data; that's what builds Generative AI. With a foundation model, you can adapt one pretrained model to many tasks.
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