r/MachineLearning - Reddit
reddit.com
r/MachineLearning - Reddit
My $0.02 is that a lot of the future research/work there will be figuring out how to identify effective sub-graphs to provide additional context, to avoid having to pass in the entire graph. As well as trying to identify ontology-less structures in real-time, which includes NER and RE, as well as named entity/relationship resolution/de-duplificatio... See more
r/MachineLearning - Reddit
When we deliver a model we make sure we don't reach X seconds of latency in our API. Before even going into performance of LLMs for classification, I can tell you that with the current available tech they are just infeasible.
Reply
reply
LinuxSpinach
•
5h ago
^ this. And especially classification as a task, because businesses don’t want to pay llm buck... See more
Reply
reply
LinuxSpinach
•
5h ago
^ this. And especially classification as a task, because businesses don’t want to pay llm buck... See more
r/MachineLearning - Reddit
We're doing NER on hundreds of millions of documents in a specialised niche. LLMs are terrible for this. Slow, expensive and horrifyingly inaccurate. Even with agents, pydantic parsing and the like. Supervised methods are the way to go. Hell, I'd take an old school rule based approach over LLMs for this.