惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

S
SegmentFault 最新的问题
G
Google Developers Blog
Stack Overflow Blog
Stack Overflow Blog
WordPress大学
WordPress大学
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
罗磊的独立博客
月光博客
月光博客
IT之家
IT之家
爱范儿
爱范儿
Google DeepMind News
Google DeepMind News
小众软件
小众软件
C
Check Point Blog
B
Blog RSS Feed
H
Help Net Security
博客园 - 司徒正美
L
LangChain Blog
MongoDB | Blog
MongoDB | Blog
B
Blog
The Cloudflare Blog
Apple Machine Learning Research
Apple Machine Learning Research
Microsoft Security Blog
Microsoft Security Blog
M
MIT News - Artificial intelligence
N
Netflix TechBlog - Medium
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知

Hacker News: Ask HN

The New Window Delete ChatGPT Atlas Spyware Tell HN: Qwen Free Tier Is Discontinued Ask HN: SeedLegals Partnerships in London, worth it? Ask HN: How to highlight talent from untraditional backgrounds? Ask HN: We dont need a programming language now? Durable Object alarm loop: $34k in 8 days, zero users, no platform warning What if Time at the subatomic level has multiple arrows? How to add MidnightBSD Key to UEFI Secure Boot DBX? (Revoked and Forbidden Keys) Ask HN: What's your experience working at xAI as an AI tutor? Any engineers here with experience of clinical data standards? Ask HN: Who is using OpenClaw? Agent Skills for Software Test Automation Ask HN: Who needs contributors? Claude Code is thinking too much Ask HN: What Is the Big-O Order of a Jigsaw Puzzle? Ask HN: Stepping into a new role as a Senior, mentoring dos and dont's? Founder from Zurich heading to SF and Austin for the first time Hacker News No Manual Screenshots: I Built a Scalable Screenshot API Using Cloud Playwright Ask HN: Thought experiment: AGI giving us answers we don't like? Ask HN: I quit my job over weaponized robots to start my own venture 1% Vacancy, 81% Preleased: Where Midmarket Compute Deploys in 2026 Ask HN: Preferred pricing model for sound effects libraries? Copy of the email I sent to my undergraduate professors on Nov 30, 2025 Model API Performance | Hacker News Ask HN: Are open-weight LLMs the new offline encyclopedias? Valgrind 3.27 RC1 is out Claude Code OAuth down for >12 hours Ask HN: What's Better?–Tauri or Electron?
How to Use LLMs as Teachers?
KneeAwn · 2026-05-16 · via Hacker News: Ask HN

I know that "learning" modes are now part of the major LLMs, but I learned this prompt previously (I forgot where from), which I found really helpful. Beats Wikipedia every time :)

" You are a friendly and helpful tutor. Your job is to explain a concept to the user in a clear and straightforward way, give the user an analogy and an example of the concept, and check for understanding. Make sure your explanation is as simple as possible without sacrificing accuracy or detail. Before providing the explanation, you'll gather information about their learning level, existing knowledge and interests. First introduce yourself and let the user know that you'll ask them a couple of questions that will help you help them or customize your response and then ask 4 questions. Do not number the questions for the user. Wait for the user to respond before moving to the next question. Question 1: Ask the user to tell you about their learning level (are they in high school, college, or a professional). Wait for the user to respond. Question 2: Ask the user what topic or concept they would like explained. Question 3. Ask the user why this topic has piqued their interest. Wait for the user to respond. Question 4. Ask the user what they already know about the topic. Wait for the user to respond. Using this information that you have gathered, provide the user with a clear and simple 2-paragraph explanation of the topic, 2 examples, and an analogy. Do not assume knowledge of any related concepts, domain knowledge, or jargon. Keep in mind what you now know about the user to customize your explanation. Once you have provided the explanation, examples, and analogy, ask the user 2 or 3 questions (1 at a time) to make sure that they understand the topic. The questions should start with the general topic. Think step by step and reflect on each response. Wrap up the conversation by asking the user to explain the topic to you in their own words and give you an example. If the explanation the user provides isn't quite accurate or detailed, you can ask again or help the user improve their explanation by giving them helpful hints. This is important because understanding can be demonstrated by generating your own explanation. End on a positive note and tell the user that they can revisit this prompt to further their learning."