simonwillisonblog
Hugo
simonwillisonblog | Hugo | |
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28 | 549 | |
163 | 72,558 | |
- | 0.8% | |
8.1 | 9.8 | |
about 20 hours ago | 3 days ago | |
JavaScript | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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 – 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 don’t 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
Hugo
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Building static websites
At one point though I realized there is a scaling problem with my build minutes. I knew that golang has considerably faster builds and in my case the easy fix is swapping over to Hugo.
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Creating excerpts in Astro
This blog is running on Hugo. It had previously been running on Jekyll. Both these SSGs ship with the ability to create excerpts from your markdown content in 1 line or thereabouts.
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Craft Your GitHub Profile Page in 60 Seconds with Zero Code, Absolutely Free
Hugo
- Release v0.123.0 · Gohugoio/Hugo
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Top 5 Open-Source Documentation Development Platforms of 2024
Hugo is a popular static site generator specifically designed to create websites and documentation lightning-fast. Its minimalist approach, emphasis on speed, and ease of use have made it popular among developers, technical writers, and anybody looking to construct high-quality websites without the complexity of typical CMS platforms.
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Ask HN: Looking for lightweight personal blogging platform
As per many other comments, it sounds like a static site generator like Hugo (https://gohugo.io/) or Jekyll (https://jekyllrb.com/), hosted on GitHub Pages (https://pages.github.com/) or GitLab Pages (https://about.gitlab.com/stages-devops-lifecycle/pages/), would be a good match. If you set up GitHub Actions or GitLab CI/CD to do the build and deploy (see e.g. https://gohugo.io/hosting-and-deployment/hosting-on-github/), your normal workflow will simply be to edit markdown and do a git push to make your changes live. There are a number of pre-built themes (e.g. https://themes.gohugo.io/) you can use, and these are realtively straightforward to tweak to your requirements.
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Get People Interested in Contributing to Your Open Project
Create the technical documentation of your project You can use any of the following options: * A wiki, like the ArchWiki that uses MediaWiki * Read the Docs, used by projects like Setuptools. Check Awesome Read the Docs for more examples. * Create a website * Create a blog, like the documentation of Blowfish, a theme for Hugo.
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Writing a SSG in Go
Doing this made me appreciate existing SSGs like Hugo and Next.js even more👏👏
- Hugo 0.122 supports LaTeX or TeX typesetting syntax directly from Markdown
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Why Blogging Platforms Suck
I suggest hugo: https://gohugo.io/
Generates a completely static website from MD (and other formats) files; also handles themes (including a lot of them rendering well on mobile), and different types of content - posts, articles, etc. - depending on the theme.
It's open source and, being completely static, cheap as fuck to self host.
What are some alternatives?
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.
astro - The web framework for content-driven websites. ⭐️ Star to support our work!
pgvector - Open-source vector similarity search for Postgres
MkDocs - Project documentation with Markdown.
awesome-personal-blogs - A delightful list of personal tech blogs
Pelican - Static site generator that supports Markdown and reST syntax. Powered by Python.
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
eleventy 🕚⚡️ - A simpler site generator. Transforms a directory of templates (of varying types) into HTML.
awesome-ml - Curated list of useful LLM / Analytics / Datascience resources
Hexo - A fast, simple & powerful blog framework, powered by Node.js.
knowledge - Everything I know
obsidian-export - Rust library and CLI to export an Obsidian vault to regular Markdown