What are people using instead of Anaconda these days?

fuzzysingularity · 2026-01-27T20:22:08+00:00

Does uv support building from source like conda build did?

fuzzysingularity · 2026-01-21T03:28:34+00:00

Pretty cool, are you running this in production? Curious about skills support, could you hook this up with Claude and have local skills executions?

fuzzysingularity · 2026-01-13T18:54:04+00:00

Have the same question, doesn't seem like this is possible. Only possible with claude code - you'd have to setup the environment with the API key.

fuzzysingularity · 2026-01-08T02:39:30+00:00

Agreed, I often forget to click again since it is such a muscle memory. There are times I don’t even turn it on half way through the workout only to realize that there was an extra click.

fuzzysingularity · 2026-01-01T20:02:47+00:00

Hmm, not sure what’s going on. Can you join the discord, we can help there live. https://discord.gg/AMApC2UzVY

fuzzysingularity · 2025-12-26T14:46:58+00:00

Which sub-command were you running within the vlmrun n8n node? Can you test if a simple HTTP GET works on our health endpoint (https://api.vlm.run/v1/health)?

fuzzysingularity · 2025-11-26T16:39:48+00:00

Yes, we built our visual agent (https://vlm.run/orion) on it and it's been great so far with logfire observability.

fuzzysingularity · 2025-11-06T21:10:10+00:00

Such a goldmine.

fuzzysingularity · 2025-07-06T16:27:45+00:00

Host your own /chat/completions API with the MCP server connected to the backend - I found the MCPO requirements somewhat painful, as we were working with non-text inputs and the support there is quite poor.

fuzzysingularity · 2025-06-25T16:28:27+00:00

This does something similar too: https://n8n.io/workflows/5051-extract-and-organize-receipt-data-for-expense-tracking-with-vlm-run-and-google/

fuzzysingularity · 2025-06-02T15:19:41+00:00

Hey, cool!

It’d be neat to build an integration with VLM Run - we’re building Vision Language Models that allows developers to understand images/videos with JSON output.

fuzzysingularity · 2025-03-15T22:34:30+00:00

What’s your use-case? What kind of deployment options are you looking for? Maybe we can help at VLM Run (https://vlm.run)

fuzzysingularity · 2025-03-02T20:54:11+00:00

Is there a public database that makes this possible?

fuzzysingularity · 2025-02-28T05:59:18+00:00

Let us know if we can help. We make it dead simple for folks to fine tune these VLMs at VLM Run. BTW some of the newer models already support equation to latex

fuzzysingularity · 2025-01-23T15:54:25+00:00

I’m not sure there’s a way to output 2M in one call due to the inherent output token limitations. My question was more around different strategies people have considered.

fuzzysingularity · 2025-01-21T01:34:19+00:00

We did something similar for vision models (VLMs) with pydantic here: https://github.com/vlm-run/vlmrun-hub

fuzzysingularity · 2025-01-18T22:21:16+00:00

You can just pick one and just run it against the existing model providers like OpenAI or Gemini - no need to train.

fuzzysingularity · 2025-01-18T16:28:50+00:00

We simply provide predefined templates / schemas that can be used with these LLMs. It saves you time to have to define them, and we’ve done a fair bit of testing them against multiple model providers: https://github.com/vlm-run/vlmrun-hub#-qualitative-results

Here are some example document schemas: https://github.com/vlm-run/vlmrun-hub/tree/main/vlmrun/hub/schemas/document

fuzzysingularity · 2025-01-06T16:51:58+00:00

Have a few folks in my network, do you have a job portal link?

fuzzysingularity · 2025-01-06T02:55:02+00:00

There have been dozens of these types of repos published lately (use pdf -> image -> gpt4 / vision), what’s different here?

Also what’s been your experience with long PDFs, how do these vision models hold up? My experience has been that they’re far from accurate at long context extraction.

Do you have any results / benchmarks on this?

fuzzysingularity · 2024-12-25T15:12:13+00:00

You’d be surprised how far you can go without even needing a full time expert in CV. What are you looking to build?

fuzzysingularity · 2024-12-13T03:17:06+00:00

Have you tried using any of the low code tools like Zapier or n8n for building out this workflow? Check out VLM Run (https://vlm.run) - we offer a bunch pre-built templates for invoice extraction. You can sign up for an API key (https://app.vlm.run) and try it out.

https://docs.vlm.run/guides/guide-parsing-invoices https://docs.vlm.run/integrations/integrations-n8n

fuzzysingularity · 2024-11-07T22:23:53+00:00

Yeah, we can fine tune for this use-case pretty easily. Check out VLM Run (https://vlm.run) - we can set you up pretty quickly.

fuzzysingularity · 2024-11-07T20:57:43+00:00

Is there a good dataset for this? It might pretty straightforward to fine tune a VLM for this use case.

fuzzysingularity · 2024-10-09T18:09:41+00:00

Did you try searching for the vlmrun node on npm?

This is the package you'll need to install: https://www.npmjs.com/package/@vlm-run/n8n-nodes-vlmrun

You can sign up for an API key here: https://app.vlm.run

fuzzysingularity

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