How to fine-tune your embeddings for better similarity search

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  • refinery

    The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

    This blog post will share our experience with fine-tuning sentence embeddings on a commonly available dataset using similarity learning. We additionally explore how this could benefit the labeling workflow in the Kern AI refinery. To understand this post, you should know what embeddings are and how they are generated. A rough idea of what fine-tuning is also helps. All the code and data referenced in this post is available on GitHub.

  • refinery-sample-projects

    Containing examples of projects you can use to test refinery. Please select the use case from the branches.

    This blog post will share our experience with fine-tuning sentence embeddings on a commonly available dataset using similarity learning. We additionally explore how this could benefit the labeling workflow in the Kern AI refinery. To understand this post, you should know what embeddings are and how they are generated. A rough idea of what fine-tuning is also helps. All the code and data referenced in this post is available on GitHub.

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    Learn 300+ open source libraries for free using AI. LearnThisRepo lets you learn 300+ open source repos including Postgres, Langchain, VS Code, and more by chatting with them using AI!

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