Simon Willison’s Weblog

llm-embed-onnx. I wrote a new plugin for LLM that acts as a thin wrapper around onnx_embedding_models by Benjamin Anderson, providing access to seven embedding models that can run on the ONNX model framework.

The actual plugin is around 50 lines of code, which makes for a nice example of how thin a plugin wrapper can be that adds new models to my LLM tool. # 28th January 2024, 10:28 pm

My blog’s year archive pages now have tag clouds (via) Inspired by the tag cloud I used in my recent 2023 AI roundup post, I decided to add a tag cloud to the top of every one of my archive-by-year pages showing what topics I had spent the most time with that year.

I already had old code for this, so I pasted it into GPT-4 along with an example of the output of my JSON endpoint from Django SQL Dashboard and had it do most of the work for me. # 4th January 2024, 9:02 pm

Annotate and explore your data with datasette-comments. New plugin for Datasette and Datasette Cloud: datasette-comments, providing tools for collaborating on data exploration with a team through posting comments on individual rows of data.

Alex Garcia built this for Datasette Cloud but as with almost all of our work there it’s also available as an open source Python package. # 30th November 2023, 9:59 pm

LLM 0.11. I released LLM 0.11 with support for the new gpt-3.5-turbo-instruct completion model from OpenAI.

The most interesting feature of completion models is the option to request “log probabilities” from them, where each token returned is accompanied by up to 5 alternatives that were considered, along with their scores. # 19th September 2023, 3:28 pm

Symbex 1.4. New release of my Symbex tool for finding symbols (functions, methods and classes) in a Python codebase. Symbex can now output matching symbols in JSON, CSV or TSV in addition to plain text.

I designed this feature for compatibility with the new “llm embed-multi” command—so you can now use Symbex to find every Python function in a nested directory and then pipe them to LLM to calculate embeddings for every one of them.

I tried it on my projects directory and embedded over 13,000 functions in just a few minutes! Next step is to figure out what kind of interesting things I can do with all of those embeddings. # 5th September 2023, 5:29 pm

Datasette Cloud and the Datasette 1.0 alphas. I sent out the Datasette Newsletter for the first time in quite a while, with updates on Datasette Cloud, the Datasette 1.0 alphas, a note about the security vulnerability in those alphas and a summary of some of my research into combining LLMs with Datasette. # 22nd August 2023, 7:56 pm

Welcome to Datasette Cloud. We launched the Datasette Cloud blog today! The SaaS hosted version of Datasette is ready to start onboarding more users—this post describes what it can do so far and hints at what’s planned to come next. # 16th August 2023, 1:46 am

llm-mlc (via) My latest plugin for LLM adds support for models that use the MLC Python library—which is the first library I’ve managed to get to run Llama 2 with GPU acceleration on my M2 Mac laptop. # 12th August 2023, 5:33 am

Datasette 1.0a3. A new Datasette alpha release. This one previews the new default JSON API design that’s coming in 1.0—the single most significant change in the 1.0 milestone, since I plan to keep that API stable for many years to come. # 9th August 2023, 8:49 pm

asgi-replay. As part of submitting LLM to Homebrew core I needed an automated test that demonstrated that the tool was working—but I couldn’t test against the live OpenAI API because I didn’t want to have to reveal my API token as part of the test. I solved this by creating a dummy HTTP endpoint that simulates a hit to the OpenAI API, then configuring the Homebrew test to hit that instead. As part of THAT I ended up building this tiny tool which uses my asgi-proxy-lib package to intercept and log the details of hits made to a service, then provides a mechanism to replay that traffic. # 24th July 2023, 7:51 pm