Blogmarks tagged llm in 2023
Filters: Type: blogmark × Year: 2023 × llm × Sorted by date
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 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
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
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
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-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 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