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.
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:
They cover most of the advances, I think.