[D] How do people keep up with ML news that is not NLP related?

Submitted by shaner92 t3_10o441p in MachineLearning

Lately, NLP is taking up most of the public space, much of AI news is focused on LLM after Chat-GPT took the spotlight. How do non-NLP people keep up with news? I recently saw a post on reddit where tree models are still being improved. There are other topics too, like the recent trend in Model Explainability which feels to have slowed down.

I'd guess this all gets into the more categorical questions which I am wrapping up with 'How do YOU get your ML news'?

  • How does information gathering differ between those in Applied ML and AI researchers (or even further, between those in Business Analytics and those in more 'AI' fields)
  • What sort of interesting things are out there in the world of ML now? (model or non-model related)
  • In looking for Use Cases, does this partially come down to your field? (Finance reads finance news, pharma reads pharma news)

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Many of the AI/ML Newsletters which I subscribed to when I was less experienced seemed to be full of variety, but as they are all converging to NLP recently maybe it is time to cleanse the subscriptions, or find some new resources.

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Artgor t1_j6d2xjw wrote

First of all, it is important to understand that we can't keep up with everything. There are too many things happening around us to be able to know all of them.

That being said, I'm subscribed to the following newsletters:

  • Data Elixir
  • Data Machina
  • DataScienceWeekly

They cover most of the advances, I think.

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shaner92 OP t1_j6d5yr7 wrote

>How does information gathering differ between those in Applied ML and AI researchers (or even further, between those in Business Analytics and those in more 'AI' fields)

I had Data Elixir, will check the rest. Maybe it's time to trim some of the other newsletters that were probably 'influencers' trying to get easy news items off of ChatGPT.

Curious though, do you get these newsletters for general ML news, and focus on industry specifics for use cases? Or try to keep up with research papers in your area?

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Artgor t1_j6d8pd5 wrote

I divide the links into 3 groups:

  • relevant to what I'm doing currently - I open and read them;
  • possibly interesting - for example, I'm interested in NLP, CV, not interested in time-series or audio. I save this links into relevant folders;
  • not in my area of interest - ignore them;
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SatoshiNotMe t1_j6hmia3 wrote

Also subscribe to LabML trending papers newsletter. I like this because it’s based on papers trending on twitter, which means I don’t have to actually go doom-scrolling on twitter :)

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memberjan6 t1_j6l082i wrote

I watch ml news channel on YouTube. If it's a white dude always in sunglasses, that's it.

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