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Multilingual Named Entity Recognition for Knowledge Graphs: Supporting 70+ Languages with Precision

Bitext

In the era of data-driven decision-making, Knowledge Graphs (KGs) have emerged as pivotal tools for structuring, organizing, and interconnecting vast amounts of information. From enhancing search engine capabilities to powering AI-driven insights, KGs rely heavily on extracting, interpreting, and linking data elements with precision.

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Serving With TF and GKE: Stable Diffusion

TensorFlow

Posted by Chansung Park and Sayak Paul (ML and Cloud GDEs) Generative AI models like Stable Diffusion 1 that lets anyone generate high-quality images from natural language text prompts enable different use cases across different industries.

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Search enterprise data assets using LLMs backed by knowledge graphs

Flipboard

In the context of enterprise data asset search powered by a metadata catalog hosted on services such Amazon DataZone, AWS Glue, and other third-party catalogs, knowledge graphs can help integrate this linked data and also enable a scalable search paradigm that integrates metadata that evolves over time.

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