prompt-engineering
simonwillisonblog
prompt-engineering | simonwillisonblog | |
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35 | 28 | |
7 | 164 | |
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4.8 | 8.1 | |
12 months ago | 3 days ago | |
JavaScript | JavaScript | |
MIT License | Apache License 2.0 |
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prompt-engineering
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Enhancing AI Interaction: A Guide to Prompt Engineering
DeepLearning.AI Prompt engineering Learn Prompting
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Prompt course on Udemy
For engineers in the context of prompt engineering, there are a few decent options, like ChatGPT Prompt Engineering for Developers - DeepLearning.AI for example. But it seems you didn't ask for that.
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The Rise of Copilot: Is Syntex Becoming Obsolete?
ChatGPT Prompt Engineering for Developers: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
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Is ChatGPT4 worth the money? Or does it tiptoe around "sensitive" topics Iike 3.5 does?
ChatGPT Prompt Engineering for Developers - DeepLearning.AI
- Short courses: ChatGPT prompt engineering (1 hour) π
- Is chatgpt pro still worth it?
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Wow! Refactoring with JetBrains AI Assistant
Ideally, anyone interested in should take a course of prompt engineering to learn how to use assistant properly (for example here) as to make full use of the increased productivity.
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prompt-engineering VS chatgpt.js - a user suggested alternative
2 projects | 5 Jul 2023
- ChatGPT tells me that "im bullsh*t"
simonwillisonblog
- Sandboxing Python with Win32 App Isolation
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AI for Web Devs: Addressing Bugs, Security, & Reliability
Simon Willison has pointed out several examples of prompt injection attacks and why it may never be a solved problem:
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Where Have All the Websites Gone?
I want more people to have link blogs.
I have one in the sidebar of https://simonwillison.net/ which I've been running since November 2003. You can search through all 6,836 links here: https://simonwillison.net/search/?type=blogmark
I can post things to it with a bookmarklet. It has an Atom feed.
It's such a low-friction way of publishing. A lot of https://daringfireball.net works like this too. I also like https://waxy.org/ and https://kottke.org/ for this.
I'd love to see more of these.
- Ask HN: Is it feasible to train my own LLM?
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Moving Away from Substack
My approach is to publish to my own blog at https://simonwillison.net and then copy and paste content from that into a Substack newsletter at https://simonw.substack.com a few times a month.
It's been working really well.
Substack don't have an API, but they do support copy and paste - so I built myself a tool that assembles my blog content into rich text I can copy and paste straight into the Substack editor.
I wrote about how that works here: https://simonwillison.net/2023/Apr/4/substack-observable/
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Building a Blog in Django
Hah, yeah securing something like WordPress can be a challenge, especially if you're running a bunch of plugins.
My blog is a pretty straight-forward Django setup without many other dependencies, so it's a lot less of an attack surface: https://github.com/simonw/simonwillisonblog
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Show HN: Superfunctions β AI prompt templates as an API
That specific prompt is just an example and it's pretty bad, it was the shortest and simplest prompt I could come up with that would be easily understood.
You can set response content-types (text, html, json, etc...). If you use json it will get pretty good results because I have some is some logic to attempt to pick out json or json5 objects from the text output. I dont yet have logic to support json arrays, but I'm hoping to add that soon.
But still client side validation is needed for applications with untrusted input. I dont attempt to solve prompt injection. I saw a lot of interesting posts on this topic from this blog https://simonwillison.net/. I need to find sometime to read more about it.
Try this one instead, it should be better
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Stopping at 90%
I've started to consider "commit to writing about it" as the price I have to pay for giving into the lure of another project. It's one of the main reasons I publish so much content on https://simonwillison.net/ and https://til.simonwillison.net
A project with a published write-up unlocks so much more value than one which you complete without giving others a chance of understanding what you built.
I've maintained internal blogs (sometimes just a Slack channel or Confluence area) at previous employers for this purpose too.
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Stanford A.I. Courses
I think you are asking specifically about practical LLM engineering and not the underlying science.
Honestly this is all moving so fast you can do well by reading the news, following a few reddits/substacks, and skimming the prompt engineering papers as they come out every week (!).
https://www.latent.space/p/ai-engineer provides an early manifesto for this nascent layer of the stack.
Zvi writes a good roundup (though he is concerned mostly with alignment so skip if you donβt like that angle): https://thezvi.substack.com/p/ai-18-the-great-debate-debates
Simon W has some good writeups too: https://simonwillison.net/
I strongly recommend playing with the OpenAI APIs and working with langchain in a Colab notebook to get a feel for how these all fit together. Also, the tools here are incredibly simple and easy to understand (very new) so looking at, say, https://github.com/minimaxir/simpleaichat/tree/main/simpleai... or https://github.com/smol-ai/developer and digging in to the prompts, what goes in system vs assistant roles, how you gourde the LLM, etc.
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Seeking Your Top Recommendations for Resources on ChatGPT and Generative AI
Simon Willison's Weblog
What are some alternatives?
turbopilot - Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU
pg_cjk_parser - Postgres CJK Parser pg_cjk_parser is a fts (full text search) parser derived from the default parser in PostgreSQL 11. When a postgres database uses utf-8 encoding, this parser supports all the features of the default parser while splitting CJK (Chinese, Japanese, Korean) characters into 2-gram tokens. If the database's encoding is not utf-8, the parser behaves just like the default parser.
vocode-python - π€ Build voice-based LLM agents. Modular + open source.
pgvector - Open-source vector similarity search for Postgres
Learn_Prompting - Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
awesome-personal-blogs - A delightful list of personal tech blogs
awesome-chatgpt - π§ A curated list of awesome ChatGPT resources, including libraries, SDKs, APIs, and more. π Please consider supporting this project by giving it a star.
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
telegram-chatgpt-concierge-bot - Interact with OpenAI's ChatGPT via Telegram and Voice.
awesome-ml - Curated list of useful LLM / Analytics / Datascience resources
llama.go - llama.go is like llama.cpp in pure Golang!
knowledge - Everything I know