Similarity Learning lacks a framework. So we built one
blog.qdrant.tech
Similarity Learning lacks a framework. So we built one
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Re: Similarity Learning lacks a framework. So we built one
#2The title is written in a clickbait format. So I had to point it out.
Re: Similarity Learning lacks a framework. So we built one
#3Is it somehow connected to Qdrant similarity search engine? Is there a default integration for it?
Re: Similarity Learning lacks a framework. So we built one
#4Is it somehow connected to Qdrant similarity search engine? Is there a default integration for it?
The idea is to fine-tune model, which can be used to produce embeddings required for Qdrant. Our design approach is to make things as modular as possible, so you can use framework and engine independently.
But we are working on integrating components as well
Re: Similarity Learning lacks a framework. So we built one
#5Found the wiki article more useful in describing what Similarity Learning and Metric Learning are: https://en.wikipedia.org/wiki/Similarity_learning
Re: Similarity Learning lacks a framework. So we built one
#6I realise this is an overly-broad question, but any insight into what's the state-of-art in Similarity Learning for article-type text?
More specifically, I'm interested in deriving distances between writing style, arguing style, etc.
Re: Similarity Learning lacks a framework. So we built one
#7I realise this is an overly-broad question, but any insight into what's the state-of-art in Similarity Learning for article-type text? More specifically, I'm interested in deriving distances between writing style, arguing style, etc.
It is definitely possible to do, if you have a proper training set. You would need to somehow give model a signal, that you are interesting in e.g. arguing style specifically, and not the topic of the text.
Re: Similarity Learning lacks a framework. So we built one
#8Very cool. Can you comment on how this compares with tensorflow similarity? https://blog.tensorflow.org/2021/09/introducing-tensorflow-s...
Re: Similarity Learning lacks a framework. So we built one
#9Very cool. Can you comment on how this compares with tensorflow similarity? https://blog.tensorflow.org/2021/09/introducing-tensorflow-s...
I'm one of the authors of Quaterion and also a contributor of TF Similarity. First of all, Quaterion is based on PyTorch. From a more technical perspective, TF Similarity is currently stronger on the self-supervised methods for images and lacks some more generic losses while Quaterion puts a bigger emphasis on finetuning models from any domain efficiently for practical purposes. For example, Quaterion has a intermediate caching mechanism that accelerates finetuning considerably. Overall, They both do a good job for their own use cases.
Re: Similarity Learning lacks a framework. So we built one
#10There is one https://github.com/jina-ai/finetuner pretty well-designed and also gives SOTA performance from its docs