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Andrey Vasnetsov
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* use relative links instead of absolute * add trailing slashes to avoid 301 redirect * add trailing slashes to avoid 301 redirect * make link checker unhappy with local redirects * test if ci fails (should fail) * rollback: test if ci fails (should fail)
41 lines
2.0 KiB
Markdown
41 lines
2.0 KiB
Markdown
---
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draft: true
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preview_image: /blog/from_cms/new-cmp-demo.gif
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sitemapExclude: true
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title: "Introducing the Quaterion: a framework for fine-tuning similarity
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learning models"
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slug: quaterion
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short_description: Please meet Quaterion—a framework for training and
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fine-tuning similarity learning models.
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description: We're happy to share the result of the work we've been into during
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the last months - Quaterion. It is a framework for fine-tuning similarity
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learning models that streamlines the training process to make it significantly
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faster and cost-efficient.
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date: 2022-06-28T12:48:36.622Z
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author: Andrey Vasnetsov
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featured: true
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author_link: https://www.linkedin.com/in/andrey-vasnetsov-75268897/
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tags:
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- Corporate news
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- Release
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- Quaterion
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- PyTorch
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categories:
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- News
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- Release
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- Quaterion
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---
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We're happy to share the result of the work we've been into during the last months -
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[Quaterion](https://quaterion.qdrant.tech/). It is a framework for fine-tuning similarity learning models that streamlines the training process to make it significantly faster and cost-efficient.
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To develop Quaterion, we utilized PyTorch Lightning, leveraging a high-performing AI research approach to constructing training loops for ML models.
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This framework empowers vector search [solutions](/solutions/), such as semantic search, anomaly detection, and others, by advanced coaching mechanism, specially designed head layers for pre-trained models, and high flexibility in terms of customization according to large-scale training pipelines and other features.
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Here you can read why similarity learning is preferable to the traditional machine learning approach and how Quaterion can help benefit <https://quaterion.qdrant.tech/getting_started/why_quaterion.html#why-quaterion>
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A quick start with Quaterion:<https://quaterion.qdrant.tech/getting_started/quick_start.html>\
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\
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And try it and give us a star on GitHub :) <https://github.com/qdrant/quaterion> |