Simon Willison’s Weblog

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How I make annotated presentations

Giving a talk is a lot of work. I go by a rule of thumb I learned from Damian Conway: a minimum of ten hours of preparation for every one hour spent on stage.

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Weeknotes: Plugins for LLM, sqlite-utils and Datasette

The principle theme for the past few weeks has been plugins.

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Run Llama 2 on your own Mac using LLM and Homebrew

Llama 2 is the latest commercially usable openly licensed Large Language Model, released by Meta AI a few weeks ago. I just released a new plugin for my LLM utility that adds support for Llama 2 and many other llama-cpp compatible models.

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sqlite-utils now supports plugins

sqlite-utils 3.34 is out with a major new feature: support for plugins.

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Accessing Llama 2 from the command-line with the llm-replicate plugin

The big news today is Llama 2, the new openly licensed Large Language Model from Meta AI. It’s a really big deal:

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Weeknotes: Self-hosted language models with LLM plugins, a new Datasette tutorial, a dozen package releases, a dozen TILs

A lot of stuff to cover from the past two and a half weeks.

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My LLM CLI tool now supports self-hosted language models via plugins

LLM is my command-line utility and Python library for working with large language models such as GPT-4. I just released version 0.5 with a huge new feature: you can now install plugins that add support for additional models to the tool, including models that can run on your own hardware.

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Weeknotes: symbex, LLM prompt templates, a bit of a break

I had a holiday to the UK for a family wedding anniversary and mostly took the time off... except for building symbex, which became one of those projects that kept on inspiring new features.

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Symbex: search Python code for functions and classes, then pipe them into a LLM

I just released a new Python CLI tool called Symbex. It’s a search tool, loosely inspired by ripgrep, which lets you search Python code for functions and classes by name or wildcard, then see just the source code of those matching entities.

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Understanding GPT tokenizers

Large language models such as GPT-3/4, LLaMA and PaLM work in terms of tokens. They take text, convert it into tokens (integers), then predict which tokens should come next.

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Weeknotes: Parquet in Datasette Lite, various talks, more LLM hacking

I’ve fallen a bit behind on my weeknotes. Here’s a catchup for the last few weeks.

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llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs

I’ve been building out a small suite of command-line tools for working with ChatGPT, GPT-4 and potentially other language models in the future.

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Weeknotes: sqlite-utils 3.31, download-esm, Python in a sandbox

A couple of speaking appearances last week—one planned, one unplanned. Plus sqlite-utils 3.31, download-esm and a new TIL.

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download-esm: a tool for downloading ECMAScript modules

I’ve built a new CLI tool, download-esm, which takes the name of an npm package and will attempt to download the ECMAScript module version of that package, plus all of its dependencies, directly from the jsDelivr CDN—and then rewrite all of the import statements to point to those local copies.

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Weeknotes: Miscellaneous research into Rye, ChatGPT Code Interpreter and openai-to-sqlite

I gave myself some time off stressing about my core responsibilities this week after PyCon, which meant allowing myself to be distracted by some miscellaneous research projects.

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Enriching data with GPT3.5 and SQLite SQL functions

I shipped openai-to-sqlite 0.3 yesterday with a fun new feature: you can now use the command-line tool to enrich data in a SQLite database by running values through an OpenAI model and saving the results, all in a single SQL query.

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sqlite-history: tracking changes to SQLite tables using triggers (also weeknotes)

In between blogging about ChatGPT rhetoric, micro-benchmarking with ChatGPT Code Interpreter and Why prompt injection is an even bigger problem now I managed to ship the beginnings of a new project: sqlite-history.

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Weeknotes: A new llm CLI tool, plus automating my weeknotes and newsletter

I started publishing weeknotes in 2019 partly as a way to hold myself accountable but mainly as a way to encourage myself to write more.

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Semi-automating a Substack newsletter with an Observable notebook

I recently started sending out a weekly-ish email newsletter consisting of content from my blog. I’ve mostly automated that, using an Observable Notebook to generate the HTML. Here’s how that system works.

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AI-enhanced development makes me more ambitious with my projects

The thing I’m most excited about in our weird new AI-enhanced reality is the way it allows me to be more ambitious with my projects.

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I built a ChatGPT plugin to answer questions about data hosted in Datasette

Yesterday OpenAI announced support for ChatGPT plugins. It’s now possible to teach ChatGPT how to make calls out to external APIs and use the responses to help generate further answers in the current conversation.

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Weeknotes: AI won’t slow down, a new newsletter and a huge Datasette refactor

I’m a few weeks behind on my weeknotes, but it’s not through lack of attention to my blog. AI just keeps getting weirder and more interesting.

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Weeknotes: A bunch of things I learned this week, plus datasette-explain

The Datasette table view refactor, JSON redesign and ?_extra= continues this week, mainly in this ongoing pull request and this tracking issue.

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datasette-scraper, Big Local News and other weeknotes

In addition to exploring the new MusicCaps training and evaluation data I’ve been working on the big Datasette JSON refactor, and getting excited about a Datasette project that I didn’t work on at all.

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Exploring MusicCaps, the evaluation data released to accompany Google’s MusicLM text-to-music model

Google Research just released MusicLM: Generating Music From Text. It’s a new generative AI model that takes a descriptive prompt and produces a “high-fidelity” music track. Here’s the paper (and a more readable version using arXiv Vanity).

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How to implement Q&A against your documentation with GPT3, embeddings and Datasette

If you’ve spent any time with GPT-3 or ChatGPT, you’ve likely thought about how useful it would be if you could point them at a specific, current collection of text or documentation and have it use that as part of its input for answering questions.

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2022 in projects and blogging

In lieu of my regular weeknotes (I took two weeks off for the holidays) here’s a look back at 2022, mainly in terms of projects and things I’ve written about.

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Datasette 1.0a2: Upserts and finely grained permissions

I’ve released the third alpha of Datasette 1.0. The 1.0a2 release introduces upsert support to the new JSON API and makes some major improvements to the Datasette permissions system.

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Over-engineering Secret Santa with Python cryptography and Datasette

We’re doing a family Secret Santa this year, and we needed a way to randomly assign people to each other without anyone knowing who was assigned to who.

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AI assisted learning: Learning Rust with ChatGPT, Copilot and Advent of Code

I’m using this year’s Advent of Code to learn Rust—with the assistance of GitHub Copilot and OpenAI’s new ChatGPT.

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