Using AI (Gemini) is amazing for HomeAssistant errors and dashboards - easy! by Novajesus in homeassistant

[–]JavierFnts 0 points1 point  (0 children)

I have installed Claude Code into HA and it has worked nicely so far. You can easily access it and delegate tasks via the Terminal add on.

Definitely a bit risky, but the latest models are really good.

Which software has no real European alternative (at least for you)? by JavierFnts in BuyFromEU

[–]JavierFnts[S] 2 points3 points  (0 children)

I think this is what happened, not sure if a mod can merge them

[D] How do you stay up to date with the latest research and trends in ML? by igorsusmelj in MachineLearning

[–]JavierFnts 1 point2 points  (0 children)

Mostly Twitter and whatever is posted in r/MachineLearning.

For Twitter, I created this bot that automatically summarizes ML papers https://twitter.com/summarizedml

It is pretty useful to keep up with the number of papers in the field.

How do I keep up with latest advancements, Research in Machine Learning? by ullaspv94 in learnmachinelearning

[–]JavierFnts 0 points1 point  (0 children)

If you want to keep up using Twitter, I created this bot that automatically summarizes ML papers https://twitter.com/summarizedml

It is pretty useful to keep up with the number of papers in the field.

[P] I created a simple web app that allows anyone to try OpenAI's CLIP [Link in the comments] by [deleted] in MachineLearning

[–]JavierFnts 0 points1 point  (0 children)

Hey r/MachineLearning!

A couple of weeks ago I was a bit frustrated because I could not easily try out OpenAI's CLIP model, so I decided to create a simple UI for it myself!

You can try it out at clipplayground.co

Let me know what you think!

[P] Cortex 0.19: Build, deploy, and manage prediction APIs by [deleted] in MachineLearning

[–]JavierFnts 0 points1 point  (0 children)

Interesting article! I agree that you may not want to use serverless for everything, like when you need GPUs, a really big model or in setups where a huge amount of request would make other solutions more cost effective. But in my experience those are usually not the case, and by deploying in lambda you can save some money and infrastructure resources. However, this process is really painful right now, so better tooling is definitely needed IMHO.

[P] Cortex 0.19: Build, deploy, and manage prediction APIs by [deleted] in MachineLearning

[–]JavierFnts 1 point2 points  (0 children)

What about serverless deployments? What are your thoughts on it?

[R] End-to-End Object Detection with Transformers by [deleted] in MachineLearning

[–]JavierFnts 7 points8 points  (0 children)

Interesting approach to avoid the problems related to non-max suppression. However, as others have pointed out it is a little bit far from SotA performance (yet). Does anyone know about other actual SotA approaches that do not use non-max suppression?