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Merge branch 'main' into donghyukc/etcd_grpc_cve
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README.md

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> *Part of the [NVIDIA NeMo](https://www.nvidia.com/en-us/ai-data-science/products/nemo/) software suite for managing the AI agent lifecycle.*
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## What's Hot
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Don't miss the latest capabilities developers are picking up:
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| Feature | What it unlocks | Read this |
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|---------|-----------------|-----------|
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| **Curator on Slurm** | Run multi-node Ray pipelines on HPC clusters — text, image, video, and audio workloads at scale | [Slurm Deployment Guide](https://docs.nvidia.com/nemo/curator/latest/admin/deployment/slurm-multi-node-ray) |
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| **Audio Curation** | Build ALM and speech datasets with composite quality filtering, audio tagging, and speaker diarization | [Audio Guide](https://docs.nvidia.com/nemo/curator/latest/curate-audio) |
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| **Inference Server** | Spin up an OpenAI-compatible LLM endpoint inside your pipeline for SDG, classification, and synthetic data workflows | [Inference Server](https://docs.nvidia.com/nemo/curator/latest/curate-text/synthetic/inference-server) |
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> Want something featured here? Open an issue or ping `@nemo-curator-leads`.
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## Updates
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- **2026-04** — NeMo Curator 26.04: Cosmos-Xenna 0.2.0 upgrade, simplified `Resources` API, Ray runtime upgrade. See the [release notes](https://docs.nvidia.com/nemo/curator/latest/about/release-notes).

tutorials/text/deduplication/fuzzy/fuzzy_e2e.ipynb

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" def process(self, batch: DocumentBatch) -> DocumentBatch:\n",
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" df = batch.to_pandas().merge(cc_df, how=\"inner\", on=[CURATOR_DEDUP_ID_STR])\n",
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" return DocumentBatch(\n",
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" task_id=batch.task_id, dataset_name=batch.dataset_name, data=df, _stage_perf=batch._stage_perf\n",
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" dataset_name=batch.dataset_name, data=df, _stage_perf=batch._stage_perf\n",
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" )\n",
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"\n",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.11"
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"version": "3.12.12"
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}
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},
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"nbformat": 4,

uv.lock

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