Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/picasso-unleashing-the-potential-of-gpu-centric-training-for-wide-and-deep-recommender-systems
MLA“PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/picasso-unleashing-the-potential-of-gpu-centric-training-for-wide-and-deep-recommender-systems.
BibTeX@misc{4ortxyz_picasso-unleashing-the-potential-of-gpu-centric-training-for-wide-and-deep-recommender-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems}}, year = {2026}, url = {https://4ort.xyz/entity/picasso-unleashing-the-potential-of-gpu-centric-training-for-wide-and-deep-recommender-systems}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems — https://4ort.xyz/entity/picasso-unleashing-the-potential-of-gpu-centric-training-for-wide-and-deep-recommender-systems (retrieved 2026-05-24)
