Comparing OpenAI vs. Azure OpenAI Services

OpenAI vs. Azure OpenAI

OpenAI is an organization known for developing a variety of artificial intelligence (AI) models and tools, which are accessible through various platforms and services. Microsoft Azure is a cloud computing platform that offers a range of services and tools for building, deploying, and managing applications. Azure also provides AI services that enable developers and customers … Read more

Quebec’s Draft Regulation Respecting the Anonymization of Personal Information

quebec regulation

On December 20, the Quebec government published the Draft Regulation respecting the anonymization of personal information in the Quebec Gazette. It follows a 45-day public consultation period. In this article, we’re setting out the most important obligations and highlighting how Private AI can help achieve compliance with Law25 in light of the new Regulation. Law25 … Read more

LGPD do Brasil: Anonimização, Pseudonimização e Solicitações de Acesso à Informação

lgpd brazil

Traduzido por Patrícia Graciano. Read in English here A Lei Geral de Proteção de Dados (LGPD), é o posicionamento do Brasil à privacidade de dados. Ela  determina as regras que as organizações que lidam com dados pessoais – e que não anonimizam esses dados – devem seguir. Nesse post, analisaremos a anonimização de dados, a … Read more

Brazil’s LGPD: Anonymization, Pseudonymization, and Access Requests

lgpd brazil

Leia em português aqui The Lei Geral de Proteção de Dados (LGPD), Brazil’s answer to data privacy, determines the rules organizations that handle personal data have to follow, unless they anonymize the data. This article delves into data anonymization, pseudonymization and what that means for data processing activities, as well as the LGPD’s stringent response … Read more

Canada’s Principles for Responsible, Trustworthy and Privacy-Protective Generative AI Technologies and How to Comply Using Private AI

Canada generative AI

The realm of generative AI, encompassing technologies that generate content like text, images, and videos, have seen a significant surge in usage and development. In response, the Office of the Privacy Commissioner of Canada (OPC) has introduced key privacy principles tailored to generative AI technologies on December 7, 2023. This framework is crucial for organizations … Read more

Data Integrity, Data Security, and the New NIST Cybersecurity Framework

Data Integrity Security

Data security and integrity are two critical concepts in the world of cybersecurity. While they are often discussed together, they have distinct definitions and implications. Data security encompasses the processes and technical safeguards established to preserve data integrity, as well as confidentiality and availability of data. In this article, we will dive into the details … Read more

Safeguarding Privacy with Commercial LLMs

Privacy LLM

In the era of digital transformation, Large Language Models (LLMs) have emerged as powerful tools for businesses, enabling them to automate tasks, generate insights, and improve decision-making. However, the use of these models also brings forth significant privacy challenges. Despite the inherent privacy protections in enterprise solutions like Microsoft Azure OpenAI Services, residual privacy issues … Read more

Privacy Impact Assessment (PIA) Requirements under Law25

PIA Law25

Quebec’s commitment to modernizing its data protection measures is evident in the provisions of Law25, the most important provisions of which came into effect on September 22, 2023. A significant component of this new legislation is the requirement for private companies to conduct Privacy Impact Assessments (PIAs). While already mandatory in certain circumstances for public … Read more

Comply with US Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence using Private AI

biden trustworthy AI

The Biden-Harris Administration recently enacted a sweeping Executive Order to forge America’s path in responsible AI development, encouraging both innovation and risk mitigation. The Executive Order spells out a multi-faceted plan touching upon AI safety and security, privacy, equity, civil rights, and more, with profound implications for organizations that are already embedded in the AI … Read more

How to Comply with EU AI Act using PrivateGPT

eu ai act

The recently amended EU AI Act proposal we introduced in this blog post, would regulate “foundational models,” defined in Art. 3(1c) as “an AI model that is trained on broad data at scale, is designed for generality of output, and can be adapted to a wide range of distinctive tasks.” This blog post sets out … 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.