ML Model Evaluations & Multimodal Learning

In the previous episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sat down with Dr. Aida Nematzadeh (Staff Research Scientist at DeepMind) to discuss machine learning models and multimodal learning.  Before joining DeepMind, Dr. Nematzadeh was a postdoctoral researcher at UC Berkeley advised by Tom Griffiths and affiliated with the … Read more

Language Modelling via Learning to Rank

In the previous episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sat down with Arvid Frydenlund (PhD candidate at the University of Toronto in the Computer Science Department and Vector Institute) to discuss his latest paper Language Modelling via Learning to Rank, presented at AAAI-2022 and published at the 6th Workshop on Structured Prediction for … Read more

What Companies Should Know About PII & Protecting It

Personally Identifiable Information (PII) is any data that can be used to identify an individual. This can be done using direct identifiers (name, social security number, etc.) which are unique to an individual, or using quasi-identifiers (date of birth, race, postal code, etc.) which in isolation cannot pinpoint an individual, but in conjunction with multiple … Read more

When the Curious Abandon Honesty: Federated Learning Is Not Private

Previously on Private AI’s speaker series CEO, Patricia Thaine, sat down with Franziska Boenisch to discuss her latest paper, ‘When the Curious Abandon Honesty: Federated Learning Is Not Private’.  Franziska completed a Master’s degree in Computer Science at Freie University Berlin and Technical University Eindhoven. For the past 2.5 years, she has been working at Fraunhofer AISEC as a Research … Read more

MLOps & Machine Learning Deployment at Scale

In the latest episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sits down to chat about MLOps and Machine Learning Deployment at Scale with Luke de Oliveira from Twilio. Luke de Oliveira is the Director of Machine Learning at Twilio, working at the intersection of technology and product. He is building Twilio Intelligence, a … Read more

9 Companies to Help You Get Your Privacy $hit Together

9 Companies to Help You Get Your Privacy $hit Together

With the ever-growing number of global regulations, legislations, and amendments, it can be overwhelming to know where to start (or continue) your data privacy journey. Below we’ve compiled a list of 9 companies who can help you build a proactive privacy, governance, and risk management strategy within your organization.  1. Establish your company’s privacy baseline … Read more

Deploying Transformers at Scale

Transformer networks have taken the NLP world by storm, but the sheer size of these networks presents new challenges for deployment, such as how to provide acceptable latency and unit economics.

5 Facts You Probably Didn’t Know About Data Privacy

5 Facts You Probably Didn’t Know About Data Privacy

Data privacy, in simplest terms, is the right to control how your personal information is collected and used. Although this may seem obvious, it hasn’t always been the case. With data being generated in mass amounts daily, it’s interesting that the earliest data protection laws like the Data Protection Act only started to emerge in … Read more

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Language Packs

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

Rappel

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.

99.5%+ Accuracy

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.