simonwillisonblog
fastpages
simonwillisonblog | fastpages | |
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28 | 8 | |
163 | 3,418 | |
- | - | |
8.1 | 4.3 | |
about 16 hours ago | over 1 year ago | |
JavaScript | Jupyter Notebook | |
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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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
fastpages
- [P] I Made An Easy-To-Use Python Package That Creates Beautiful Html Reports From Jupyter Notebooks
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[D] What do you use to make your blog/personal websites?
I use FastPages by fastai community: https://fastpages.fast.ai/ It's similar to Markdown in terms of writing the blog and you can even convert your Jupyter Notebook to a blog page directly.
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Ask HN: Share Your Personal Site
My blog isn't all that amazing visually, but I'll use this to recommend fast pages. If you know a bit of coding and your goal is to write and not tinker, it's the perfect tool.
[1] www.adithyabalaji.com
[2] https://github.com/fastai/fastpages
- Utterances – a lightweight comments widget built on GitHub issues
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A personal website portfolio - yay or nay?
Fastpage blog
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Show HN: Render Jupyter notebooks as interactive articles with Deepnote
Thanks for mentioning nbdev (which as mentioned works well with DeepNote).
FYI, the blog post you linked to is a bit out of date - we have something much better for blogging with jupyter notebooks nowadays, which is fastpages: https://fastpages.fast.ai/ . It's compatible with the same annotations used in nbdev.
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Ask HN: Convert Jupyter Notebook into Static Site Blog Post?
Have you looked into https://github.com/fastai/fastpages
From the readme:
>An easy to use blogging platform, with support for Jupyter notebooks, Word docs, and Markdown.
There's also that: https://www.scottcondron.com/jupyter/blogging/visualisation/...
Found by searching for "jupyter notebook to blog"
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Simple website framework to show data science work
Try fastpages from fastai. You can create blogs from your notebook https://github.com/fastai/fastpages
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.
pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
pgvector - Open-source vector similarity search for Postgres
gitlab
awesome-personal-blogs - A delightful list of personal tech blogs
utterances - :crystal_ball: A lightweight comments widget built on GitHub issues
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
BestPractices - Things that you should (and should not) do in your Materials Informatics research.
awesome-ml - Curated list of useful LLM / Analytics / Datascience resources
git-bug - Distributed, offline-first bug tracker embedded in git, with bridges
knowledge - Everything I know
gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org