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Initial ServiceNow organization card.

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- Edit this `README.md` markdown file to author your organization card 🔥
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  title: README
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+ # Welcome to ServiceNow\'s page on HuggingFace!
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+
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+ ServiceNow is the AI platform for business transformation. We bring
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+ intelligence to every corner of your business by offering a single,
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+ cloud-based platform that combines AI, data, and workflows to help
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+ enterprises automate and manage critical processes across IT, HR,
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+ security, and more. For more information on our company and its
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+ products, visit our corporate website: [ServiceNow - Put AI to
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+ Work](https://www.servicenow.com/).
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+
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+ On this site, you will find open-source publications, including work from our
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+ fundamental [AI research team](https://www.servicenow.com/research/).
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+ You can also find more open-source publications on our [GitHub
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+ organization](https://github.com/Servicenow).
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+
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+ Discover below a few of the projects we're especially proud to showcase.
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+
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+ ## Benchmarks
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+
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+ [BigDocsBench](https://huggingface.co/datasets/ServiceNow/BigDocs-Bench)
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+ is a benchmark designed to evaluate VLM document understanding at scale.
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+
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+ [BrowserGym
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+ Leaderboard](https://huggingface.co/spaces/ServiceNow/browsergym-leaderboard)
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+ was created to evaluate LLMs, VLMs, and agents on web navigation tasks.
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+
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+ [UI-Vision,](https://huggingface.co/datasets/ServiceNow/ui-vision) a
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+ benchmark for GUI visual grounding.
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+
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+ ## Models
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+
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+ [BigCode](https://www.bigcode-project.org/) is an open scientific
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+ collaboration focused on the responsible development of LLM for code. It
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+ addresses the lack of transparency in LLM development by promoting open
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+ governance, open datasets, and collaborative research.
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+
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+ [StarCoder](https://huggingface.co/blog/starcoder) is a
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+ state-of-the-art, 15 B-parameter open-source language model for code,
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+ trained on 1 trillion tokens extracted from GitHub repositories spanning
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+ over 80 programming languages, and it achieves top performance on
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+ benchmarks like HumanEval---surpassing both open and closed-source
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+ alternatives---while offering an extensive 8K+ context window and
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+ enhanced safety features like PII redaction and attribution tracing.
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+
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+ [Apriel-Nemotron-15b-Thinker,](https://huggingface.co/ServiceNow-AI/Apriel-Nemotron-15b-Thinker)
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+ a 15B-parameter reasoning model in ServiceNow's Apriel SLM series,
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+ delivering state-of-the-art performance on both enterprise and academic
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+ benchmarks while using only half the memory of larger models.
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+
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+ [StarVector,](https://huggingface.co/starvector/starvector-8b-im2svg) a
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+ code-driven image generation framework.
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+
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+ [AlignVLM,](https://huggingface.co/papers/2502.01341) a VLM that adapts
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+ visual features for large language models
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+
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+ # Datasets
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+
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+ [The Stack v2](https://huggingface.co/datasets/bigcode/the-stack-v2) is
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+ the largest open-access pretraining dataset for code-focused
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+ LLMs---featuring 67.5 TB (≈900 billion tokens) of meticulously curated,
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+ deduplicated, and cleaned source code---enabling next-gen models like
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+ StarCoder2 to train effectively at scale.
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+
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+ [Repliqa](https://huggingface.co/datasets/ServiceNow/repliqa) is a
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+ human-curated evaluation dataset designed to test how well LLMs use
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+ contextual information from provided documents. It contains
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+ context--question--answer triplets based on realistic but fictional
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+ documents about invented people, places, and events---removing the
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+ chance for models to rely on memorized facts.