Simon Willison’s Weblog

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120 items tagged “llm”

LLM is my command-line tool for running prompts against Large Language Models.

2023

Many options for running Mistral models in your terminal using LLM

Visit 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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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

Visit 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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Embeddings: What they are and why they matter

Visit Embeddings: What they are and why they matter

Embeddings are a really neat trick that often come wrapped in a pile of intimidating jargon.

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Open questions for AI engineering

Visit Open questions for AI engineering

Last week I gave the closing keynote at the AI Engineer Summit in San Francisco. I was asked by the organizers to both summarize the conference, summarize the last year of activity in the space and give the audience something to think about by posing some open questions for them to take home.

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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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Talking Large Language Models with Rooftop Ruby

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I’m on the latest episode of the Rooftop Ruby podcast with Collin Donnell and Joel Drapper, talking all things LLM.

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Finding Bathroom Faucets with Embeddings. Absolutely the coolest thing I’ve seen someone build on top of my LLM tool so far: Drew Breunig is renovating a bathroom and needed a way to filter through literally thousands of options for facet taps. He scraped 20,000 images of fixtures from a plumbing supply site and used LLM to embed every one of them via CLIP... and now he can ask for “faucets that look like this one”, or even run searches for faucets that match “Gawdy” or “Bond Villain” or “Nintendo 64”. Live demo included!

# 27th September 2023, 6:18 pm / llm, embeddings, generative-ai, ai, drew-breunig, clip

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 / llm, projects, generative-ai, openai, ai, llms

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

Visit 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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hubcap.php (via) This PHP script by Dave Hulbert delights me. It’s 24 lines of code that takes a specified goal, then calls my LLM utility on a loop to request the next shell command to execute in order to reach that goal... and pipes the output straight into `exec()` after a 3s wait so the user can panic and hit Ctrl+C if it’s about to do something dangerous!

# 6th September 2023, 3:45 pm / llm, security, php, generative-ai, ai, llms, ai-agents

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 / symbex, llm, generative-ai, projects, ai, embeddings

LLM now provides tools for working with embeddings

Visit 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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Making Large Language Models work for you

Visit Making Large Language Models work for you

I gave an invited keynote at WordCamp 2023 in National Harbor, Maryland on Friday.

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

Visit 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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Running my own LLM (via) Nelson Minar describes running LLMs on his own computer using my LLM tool and llm-gpt4all plugin, plus some notes on trying out some of the other plugins.

# 16th August 2023, 10:42 pm / llm, nelsonminar, edge-llms, llms

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 / llm, projects, generative-ai, mlc, ai, llms, plugins

Weeknotes: Plugins for LLM, sqlite-utils and Datasette

Visit Weeknotes: Plugins for LLM, sqlite-utils and Datasette

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

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Catching up on the weird world of LLMs

Visit Catching up on the weird world of LLMs

I gave a talk on Sunday at North Bay Python where I attempted to summarize the last few years of development in the space of LLMs—Large Language Models, the technology behind tools like ChatGPT, Google Bard and Llama 2.

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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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LLM can now be installed directly from Homebrew (via) I spent a bunch of time on this at the weekend: my LLM tool for interacting with large language models from the terminal has now been accepted into Homebrew core, and can be installed directly using “brew install llm”. I was previously running my own separate tap, but having it in core means that it benefits from Homebrew’s impressive set of build systems—each release of LLM now has Bottles created for it automatically across a range of platforms, so “brew install llm” should quickly download binary assets rather than spending several minutes installing dependencies the slow way.

# 24th July 2023, 5:16 pm / llm, generative-ai, projects, homebrew, ai, llms

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

Visit 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

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

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

Visit 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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