Simon Willison’s Weblog

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Weeknotes: more datasette-secrets, plus a mystery video project

I introduced datasette-secrets two weeks ago. The core idea is to provide a way for end-users to store secrets such as API keys in Datasette, allowing other plugins to access them.

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Weeknotes: Llama 3, AI for Data Journalism, llm-evals and datasette-secrets

Llama 3 landed on Thursday. I ended up updating a whole bunch of different plugins to work with it, described in Options for accessing Llama 3 from the terminal using LLM.

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Options for accessing Llama 3 from the terminal using LLM

Llama 3 was released on Thursday. Early indications are that it’s now the best available openly licensed model—Llama 3 70b Instruct has taken joint 5th place on the LMSYS arena leaderboard, behind only Claude 3 Opus and some GPT-4s and sharing 5th place with Gemini Pro and Claude 3 Sonnet. But unlike those other models Llama 3 70b is weights available and can even be run on a (high end) laptop!

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AI for Data Journalism: demonstrating what we can do with this stuff right now

I gave a talk last month at the Story Discovery at Scale data journalism conference hosted at Stanford by Big Local News. My brief was to go deep into the things we can use Large Language Models for right now, illustrated by a flurry of demos to help provide starting points for further conversations at the conference.

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Three major LLM releases in 24 hours (plus weeknotes)

I’m a bit behind on my weeknotes, so there’s a lot to cover here. But first... a review of the last 24 hours of Large Language Model news. All times are in US Pacific on April 9th 2024.

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Building files-to-prompt entirely using Claude 3 Opus

files-to-prompt is a new tool I built to help me pipe several files at once into prompts to LLMs such as Claude and GPT-4.

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Running OCR against PDFs and images directly in your browser

I attended the Story Discovery At Scale data journalism conference at Stanford this week. One of the perennial hot topics at any journalism conference concerns data extraction: how can we best get data out of PDFs and images?

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llm cmd undo last git commit—a new plugin for LLM

I just released a neat new plugin for my LLM command-line tool: llm-cmd. It lets you run a command to to generate a further terminal command, review and edit that command, then hit <enter> to execute it or <ctrl-c> to cancel.

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Building and testing C extensions for SQLite with ChatGPT Code Interpreter

I wrote yesterday about how I used Claude and ChatGPT Code Interpreter for simple ad-hoc side quests—in that case, for converting a shapefile to GeoJSON and merging it into a single polygon.

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Weeknotes: the aftermath of NICAR

NICAR was fantastic this year. Alex and I ran a successful workshop on Datasette and Datasette Cloud, and I gave a lightning talk demonstrating two new GPT-4 powered Datasette plugins—datasette-enrichments-gpt and datasette-extract. I need to write more about the latter one: it enables populating tables from unstructured content (using a variant of this technique) and it’s really effective. I got it working just in time for the conference.

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Weeknotes: Getting ready for NICAR

Next week is NICAR 2024 in Baltimore—the annual data journalism conference hosted by Investigative Reporters and Editors. I’m running a workshop on Datasette, and I plan to spend most of my time in the hallway track talking to people about Datasette, Datasette Cloud and how the Datasette ecosystem can best help support their work.

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Weeknotes: a Datasette release, an LLM release and a bunch of new plugins

I wrote extensive annotated release notes for Datasette 1.0a8 and LLM 0.13 already. Here’s what else I’ve been up to this past three weeks.

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Datasette 1.0a8: JavaScript plugins, new plugin hooks and plugin configuration in datasette.yaml

I just released Datasette 1.0a8. These are the annotated release notes.

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LLM 0.13: The annotated release notes

I just released LLM 0.13, the latest version of my LLM command-line tool for working with Large Language Models—both via APIs and running models locally using plugins.

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Weeknotes: datasette-test, datasette-build, PSF board retreat

I wrote about Page caching and custom templates in my last weeknotes. This week I wrapped up that work, modifying datasette-edit-templates to be compatible with the jinja2_environment_from_request() plugin hook. This means you can edit templates directly in Datasette itself and have those served either for the full instance or just for the instance when served from a specific domain (the Datasette Cloud case).

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Publish Python packages to PyPI with a python-lib cookiecutter template and GitHub Actions

I use cookiecutter to start almost all of my Python projects. It helps me quickly generate a skeleton of a project with my preferred directory structure and configured tools.

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Many options for running Mistral models in your terminal using LLM

Mistral AI is the most exciting AI research lab at the moment. They’ve now released two extremely powerful smaller Large Language Models under an Apache 2 license, and have a third much larger one that’s available via their API.

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Weeknotes: datasette-enrichments, datasette-comments, sqlite-chronicle

I’ve mainly been working on Datasette Enrichments and continuing to explore the possibilities enabled by sqlite-chronicle.

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Datasette Enrichments: a new plugin framework for augmenting your data

Today I’m releasing datasette-enrichments, a new feature for Datasette which provides a framework for applying “enrichments” that can augment your data.

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Weeknotes: DevDay, GitHub Universe, OpenAI chaos

Three weeks of conferences and Datasette Cloud work, four days of chaos for OpenAI.

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Exploring GPTs: ChatGPT in a trench coat?

The biggest announcement from last week’s OpenAI DevDay (and there were a LOT of announcements) was GPTs. Users of ChatGPT Plus can now create their own, custom GPT chat bots that other Plus subscribers can then talk to.

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ospeak: a CLI tool for speaking text in the terminal via OpenAI

I attended OpenAI DevDay today, the first OpenAI developer conference. It was a lot. They released a bewildering array of new API tools, which I’m just beginning to wade my way through fully understanding.

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DALL-E 3, GPT4All, PMTiles, sqlite-migrate, datasette-edit-schema

I wrote a lot this week. I also did some fun research into new options for self-hosting vector maps and pushed out several new releases of plugins.

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Execute Jina embeddings with a CLI using llm-embed-jina

Berlin-based Jina AI just released a new family of embedding models, boasting that they are the “world’s first open-source 8K text embedding model” and that they rival OpenAI’s text-embedding-ada-002 in quality.

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Weeknotes: the Datasette Cloud API, a podcast appearance and more

Datasette Cloud now has a documented API, plus a podcast appearance, some LLM plugins work and some geospatial excitement.

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Weeknotes: Embeddings, more embeddings and Datasette Cloud

Since my last weeknotes, a flurry of activity. LLM has embeddings support now, and Datasette Cloud has driven some major improvements to the wider Datasette ecosystem.

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Build an image search engine with llm-clip, chat with models with llm chat

LLM is my combination CLI tool and Python library for working with Large Language Models. I just released LLM 0.10 with two significant new features: embedding support for binary files and the llm chat command.

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LLM now provides tools for working with embeddings

LLM is my Python library and command-line tool for working with language models. I just released LLM 0.9 with a new set of features that extend LLM to provide tools for working with embeddings.

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Datasette 1.0a4 and 1.0a5, plus weeknotes

Two new alpha releases of Datasette, plus a keynote at WordCamp, a new LLM release, two new LLM plugins and a flurry of TILs.

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Datasette Cloud, Datasette 1.0a3, llm-mlc and more

Datasette Cloud is now a significant step closer to general availability. The Datasette 1.03 alpha release is out, with a mostly finalized JSON format for 1.0. Plus new plugins for LLM and sqlite-utils and a flurry of things I’ve learned.

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