Kathrin Gardhouse 
In an increasingly digital world where customer data is being collected at various touchpoints, the protection of personal information is becoming increasingly important for businesses worldwide. There are three core types of personal information that global privacy regulations require protection of: Personally Identifiable Information (PII), Payment Card Industry (PCI) data, and Protected Health Information (PHI). … Read more
The latest data breaches are a regular topic in the news. Raising awareness about the prevalence and severity of the issue, as well as how the financial impact on the business can be limited is what we contribute with this article. We thereby focus on the tangible immediate and long-term costs and the aggravating and … Read more
Data protection is a critical concern in today’s digital world. As more and more data are collected and processed, the need for effective data protection measures becomes increasingly important. Structured, semi-structured, and unstructured data all present unique challenges for data protection, and it’s essential to understand the differences between them in order to implement effective … Read more
On February 8, 2023, the International Organization for Standardization adopted privacy by design in ISO 31700:2023 as a voluntary standard for organizations to implement into their operations. The adoption of this standard further manifests a shift in the field of data privacy. After Article 25 of the GDPR made it a mandatory requirement, the ISO … Read more
What does privacy mean to us at Private AI? As a tech company whose purpose it is to enhance privacy, we are acutely aware of the value tension between businesses needing access to data to build amazing tools and the privacy interests of individual consumers. The privacy laws that have been enacted all over the … Read more
Große Sprachmodelle (Large Language Models, LLMs) sind eine Art maschineller Lernmodelle, die anhand großer Mengen von Textdaten trainiert werden, um menschenähnlichen Text zu erzeugen. Sie sind in der Lage, Text zu generieren, der von einem vom Menschen verfassten Text nicht zu unterscheiden ist, und können für eine breite Palette von Aufgaben der Verarbeitung natürlicher Sprache … Read more
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Expand the categories below to see which languages are included within each language pack.
Note: English capabilities are automatically included within the Enterprise pricing tier.
French
Spanish
Portuguese
Arabic
Hebrew
Persian (Farsi)
Swahili
French
German
Italian
Portuguese
Russian
Spanish
Ukrainian
Belarusian
Bulgarian
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
Greek
Hungarian
Icelandic
Latvian
Lithuanian
Luxembourgish
Polish
Romanian
Slovak
Slovenian
Swedish
Turkish
Hindi
Korean
Tagalog
Bengali
Burmese
Indonesian
Khmer
Japanese
Malay
Moldovan
Norwegian (Bokmål)
Punjabi
Tamil
Thai
Vietnamese
Mandarin (simplified)
Arabic
Belarusian
Bengali
Bulgarian
Burmese
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
French
German
Greek
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Italian
Japanese
Khmer
Korean
Latvian
Lithuanian
Luxembourgish
Malay
Mandarin (simplified)
Moldovan
Norwegian (Bokmål)
Persian (Farsi)
Polish
Portuguese
Punjabi
Romanian
Russian
Slovak
Slovenian
Spanish
Swahili
Swedish
Tagalog
Tamil
Thai
Turkish
Ukrainian
Vietnamese
Testé sur un ensemble de données composé de données conversationnelles désordonnées contenant des informations de santé sensibles. Téléchargez notre livre blanc pour plus de détails, ainsi que nos performances en termes d’exactitude et de score F1, ou contactez-nous pour obtenir une copie du code d’évaluation.
Number quoted is the number of PII words missed as a fraction of total number of words. Computed on a 268 thousand word internal test dataset, comprising data from over 50 different sources, including web scrapes, emails and ASR transcripts.
Please contact us for a copy of the code used to compute these metrics, try it yourself here, or download our whitepaper.
