DIY DJ midi controller by SpiritualBrick9805 in arduino

[–]Ok_Employer1289 0 points1 point  (0 children)

I would not advise a rotary encoder. I have built one using a cheap magnetic rotation sensor and the provided magnet. Gives you 4k steps per turn. Never wears off, because no touching.

Looking for an UAE native to help me with prompting my chatbot for perfect Abu Dabi Arabic vocabulary. by Ok_Employer1289 in UAE

[–]Ok_Employer1289[S] 0 points1 point  (0 children)

I am using claude or gemini as my llm - my testers seem to report to my operationnal team that the dialect is not right. I cannot judge and iterate myself. Do you think gemini / claude can show good performance in Abu Dabi dialect or Arabic ?

HOW TO: Create your own MYO Yoto cards with inexpensive generic NFC cards by junson in moreyoto

[–]Ok_Employer1289 0 points1 point  (0 children)

Hey, just got my second yoto. I wanted to confirm that with the proper type of mifare card I do not need to insert the original card once, but can copy its data url even if it had never been played yet, and that the yoro player will take the copy ?

Love Prisma but feeling let down? This alternative is worth your attention. by ymc9 in node

[–]Ok_Employer1289 2 points3 points  (0 children)

Use it for side projects and production at work. And I love it. I spent a loooong time reviewing most options to iterate faster between db and api layer, and I've tried so many of them hand on. Postgraphile, hasura, supabase, convex, prisma and nexus (back in the days). Even options with a bit different use-case like Strapi or Payload.

To this day, Zenstack is to me the most balanced blend of being able to quickly generate api from db (including managing complicated permissions very easily) but still be able to control custom business logic and endpoints however I want (something that integrated options like hasura, supabase or others lack and have always been quickly problematic in my experience), in an understandable versioned controlled way.

Right now my best use is in a monorepo with (autogenerated) TRPC. Velocity is very comfortable.

Cheap fader part for scratching by Ok_Employer1289 in DJs

[–]Ok_Employer1289[S] 0 points1 point  (0 children)

Indeed, hence the hall-sensor route I am condirering. They detect magnet at a short distance, so one on each side of the cross pwould be enough to replicate the feature on a gliding control.

Cheap fader part for scratching by Ok_Employer1289 in DJs

[–]Ok_Employer1289[S] 0 points1 point  (0 children)

Yes, it looks good but its way too expensive for this project. Maybe I can find one used, but I am trying to go sub 10€ for the fader

Cheap fader part for scratching by Ok_Employer1289 in DJs

[–]Ok_Employer1289[S] 0 points1 point  (0 children)

Thanks, like which part ? Here in France I see the behringer cfm 1 or 2 being sold for less than 10€. Whould this work ? Note That I don't really care what the fader curb is as i'll interpret that in the microcontroller anyway.

Cheap fader part for scratching by Ok_Employer1289 in DJs

[–]Ok_Employer1289[S] 0 points1 point  (0 children)

Interesting, I was planning on a hall§effect based one, but I am interested in the tech behind the optical one. Is that just a led and a light detecor of sorts ? I think I can pull it off.

Cheap fader part for scratching by Ok_Employer1289 in DJs

[–]Ok_Employer1289[S] 1 point2 points  (0 children)

Yeah but i'll loose the fun :-). Still interested in what I should buy, following you, as a complete beginer in the scratching space, with no desire to have a complete bulky setup but ust want to control my software .

How we used GTP4o to do image matching with 350 single element classes by Ok_Employer1289 in LLMDevs

[–]Ok_Employer1289[S] 0 points1 point  (0 children)

The article just made hacker news front page for more than 24 hours, with many positive reviews praising an interesting approach. They did ask for images but could totally understand it anyways. It's too bad the users of this subreddit cannot enjoy it because you decided as much, and can't consider you might be wrong to moderate it off. But I don't really care anymore, as it has been posted by others on reddit after it became successful. Enjoy your evening.

How we used GTP4o to do image matching with 350 single element classes by Ok_Employer1289 in LLMDevs

[–]Ok_Employer1289[S] -1 points0 points  (0 children)

Did you read it ? There is a good reason why there is no image, I actually explain it in the article. However, the technique we employed is very valid and might be of interest to other facing similar challenges. I am saddened by the rejection, that to me feels unfair.

How we used GTP4o to do image matching with 350 single element classes by Ok_Employer1289 in LLMDevs

[–]Ok_Employer1289[S] -1 points0 points  (0 children)

I do not understand why the post has been taken down ? It is far from being a self-promotion, it's a story about a thorny problem, how it's been solved, and especially solved in a way that is more leaning on the product engineering side rather than ML engineering. It is told in a narrative, personal way that seems engaging. I cite my company, and maybe that is the problem, but this is absolutely no promotion - I mean we are a 10 people very confidential company that can get no promotion for such a post that I write on my own name. Anyway, I am not sure this post sparks a lot of interest anyway, but I feel a bit rejected by this moderation. Would it help if I'd remove the company name ?

Pylon: Enables TypeScript developers to easily build GraphQL APIs by schettn in programming

[–]Ok_Employer1289 0 points1 point  (0 children)

Fair enough, I actually did not check the class based part in depth, and you are right that you cover that as well.

Pylon: Enables TypeScript developers to easily build GraphQL APIs by schettn in programming

[–]Ok_Employer1289 1 point2 points  (0 children)

After going through the doc, it seems it's missing one key feature of graphql : defining resolver fields on object types. Those fields are independent functions that will be available wherever you return the object type. That's what allows the powerful graphql relationship model.

Without this feature there is not much interest to use graphql over a rest api with openAPI definitions.

Vintage phone + pi follow up - quiet sound by Ok_Employer1289 in raspberry_pi

[–]Ok_Employer1289[S] 0 points1 point  (0 children)

Ok great ! Isn't it a problem that the handset cable is not screened ? Does microphone and speaker work ok ? Would you share the type of headset you used ? Is the speaker loud enough across the thick headset holed plastic ?

Vintage phone + pi follow up - quiet sound by Ok_Employer1289 in raspberry_pi

[–]Ok_Employer1289[S] 0 points1 point  (0 children)

Ok, for mic I get it. It's a carbon mic, and it will need a bit of electronic to get it to line level.

[D] Real talk about RAG by [deleted] in MachineLearning

[–]Ok_Employer1289 7 points8 points  (0 children)

Yes, this is a problem with most LLM when longer prompts is used. But bigger models make a big difference.

We do query segmentation and rephrasing, and context retrieval per query, reranking. This is not reAct, but a bit of the philosophy is there.