VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
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VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
The log that dare not speak its name.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
Anyone know what the metaphor underlying Peirce's type-token distinction is? I think I always sort of assumed it was about typography, but it's actually numismatics, right? Is that widely understood?
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
@simon@fedi.simonwillison.net I think I remember seeing you in 2022 or early 2023 write about how LLMs are really good at helping API design, since they have seen all the APIs in the world and know what developers will be expecting. Do you know where that is? Writing an internal doc about API design, wanted to link to it.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
@fotis_jannidis@fedihum.org I mean, my company makes it, so yes… But also I'd say that the difference is:
- It's better especially for non-technical users -- we have a really GUI so it's actually reasonable for non-programmers
- We've got some neat local indexing stuff built in for RAG on private documents
- We have more supported models (all the community finetunes on huggingface+llama.cpp)
OTOH ollama tends to have the latest and greatest models faster than we do.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
Today Nomic released version 3.0 of GPT4All, the easiest and best way to run LLMs on your own computer without the cloud. Fully FOSS. If you haven't ever run a private local LLM -- or even if it's been 6 months -- try some of the llama3 or mistral derivatives, and chat locally with your own documents. It's remarkable how good open-source local quantized models have gotten, even as commercial models have been stuck at GPT-4 level for a year.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
Come work at Nomic! I'm hiring a front end/Web engineer to build the next generation of data interfaces for curating, exploring, and model-building from text and image data. Apply here or pass it on: https://jobs.ashbyhq.com/nomic.ai/42e7a74f-9a26-42fb-9b48-5af6b0698045
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
I appeared on a podcast with Paul Butler talking about browser technologies: https://podcast.browsertech.com/episodes/ben-schmidt-of-nomic-talks-webgl-and-webgpu-for-ai-embedding-visualization
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
@eldang@mapstodon.space @JensWiesehahn@fosstodon.org
Fascinating. Yeah I guess some kind of in-process A/B or regression must be it. Both my personal and my work accounts, and my wife's account on her work computer, are back on Web Mercator.
VP Information Design, Nomic, building interfaces to latent spaces with data visualization; onetime history & digital humanities professor.
Does anyone know why and when Google Maps switched back from using a globe at the farthest-out zoom levels, and back to Web Mercator? (I would guess the answer is A/B testing revealed people got confused and they turned t off quietly, but maybe there's a story somewhere?)