I can, and thanks for clarifying. It is probably because I used the mobile app, as opposed to pc version - which I assume you used.

Thank you for this. I tried to replicate but Mistral only output a handful. Any advice?

Thought I’d share this here, may be of interest to some

Sleeping with the fishes

I haven’t done any proper validation - was just a very basic PoC, using resources available to anyone (a list of companies and their subsidiary brands + free LLM) to see if it would work in principle.

The file itself is sourced from Wikipedia, so is probably accurate enough if you just wanted to ctrl+f and search manually.

Here is a list that may be helpful

https://files.catbox.moe/jtmcb5.pdf

And if you were not totally against using AI, then you could load that list to Mistral, take a pic and identify things quickly. As per the photo.

Hi there. I really like your thinking. I’m not a professional developer, but I suspect it’s only a matter of time that apps that do something like this are available.

Here’s a post I saw on a related community which describes something like what would make you happy :)

https://feddit.uk/post/25526618

Also, I tested my own very basic idea by taking a picture and uploading to the Mistral chat - it identified the products accurately, which was promising.

It is nice! Showing my age but reminds me more like forums and chatrooms.

I don’t feel bad, but having moved a few days ago I’ll share my experience.

I try and come here first, will check the one or two things I’ve posted engaged with, scroll a bit - but realise I haven’t quite joined enough communities for there to be novel information each time I check in.

I then default to Reddit, and quickly go into my default auto-scroll passive lurk mode. I see something new - like the most recent Anonymous hack on twitter, and then come back to see if I can find it on Lemmy!

One key difference is I rarely posted on Reddit, but have felt very comfortable posting here. Not sure why!

Yes, I know what you mean and would encourage you to share your perspective more - it will still be unique, even if it is similar to others.

Thank you :)

Yes, I plan to eventually have a home server where I can run things like this, and also stop relying on cloud services etc.

LLM can hallucinate, but agree with you that RAG accuracy can be made reliable enough - by refining prompts, adjusting temperature, improving data structure etc. Tolerance for potential errors depends on the use case of course, but for something like this I wasn’t too worried. Also this is a very simple PoC use case, just using the chat box of a free LLM. Making your own RAG using this would improve accuracy significantly. I know you know this as you also develop RAG applications, but others less familiar may not.

100% agree. Nestle is evil.

This is the original chart I saw on r/BoycottUSA.

True, there is always that risk.

Came over from Reddit as part of plan to divest from US-based products. Happy to be here, and plan to explore. Mainly lurked over on Reddit - hope to contribute more actively over here!

Yes, the screenshot was the first time I used it. Will know to edit in future

Thank you

Thank you for that. I thought it would be blocked where I live, but seems to work.

Here is a link to the source document

https://files.catbox.moe/jtmcb5.pdf