# XLSCOUT Unveils ParaEmbed 2.0: a Powerful Embedding Model Tailored for Patents and IP with Expert Support from Hugging Face

DevFeed: [XLSCOUT Unveils ParaEmbed 2.0: a Powerful Embedding Model Tailored for Patents and IP with Expert Support from Hugging Face](<https://devfeed.tech/articles/xlscout-unveils-paraembed-2-0-a-powerful-embedding-model-tailored-for-patents-and-ip-with-expert-support-from-hugging-face-7572.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/xlscout-case-study>)

Author: Andrew Reed; Khushwant Rai

Published: 2024-06-25T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Open Source Models & Datasets](<https://devfeed.tech/topics/open-source-models-datasets.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Google Cloud Platform (GCP)](<https://devfeed.tech/topics/google-cloud.md>)

Tags: [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [case-studies](<https://devfeed.tech/tags/case-studies.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [gcp](<https://devfeed.tech/tags/gcp.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llama](<https://devfeed.tech/tags/llama.md>), [mixtral](<https://devfeed.tech/tags/mixtral.md>), [onnx](<https://devfeed.tech/tags/onnx.md>), [open-source](<https://devfeed.tech/tags/open-source.md>)

## AI overview

XLSCOUT describes ParaEmbed 2.0, a proprietary embedding model developed for patent and intellectual-property analysis through collaboration with Hugging Face's Expert Support Program. The model was fine-tuned on expert-curated, multi-domain patent data and reportedly improved accuracy by 23% over ParaEmbed 1.0. The article also describes the use of open-source models, ONNX optimization, and a TorchServe inference server on Google Cloud Platform.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.