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

BYO LLM: Privacy Concerns and Other Challenges with Self Hosting

llm privacy

In the digital transformation era, Large Language Models (LLMs) like ChatGPT are increasingly being integrated into organizational workflows to boost efficiency and enrich customer experience. Self hosting these LLMs appears to be a viable solution to address privacy concerns, but it’s not entirely without its challenges. This article explores the residual privacy issues that persist … Read more

How to adapt from PIPEDA to Law25: Compliance in Canada

PIPEDA x LAW25

Canada’s federal Personal Information Protection and Electronic Documents Act (PIPEDA) has been a benchmark for businesses in managing personal information. However, for organizations operating in Quebec, the introduction of Law25 (originally Bill 64) has changed the game. Although there’s a foundation of compliance in most companies through PIPEDA, Law25 introduces more rigorous standards. Here’s a … Read more

How to Leverage ChatGPT: Translation

chatGPT translation

In recent years, the rise of artificial intelligence (AI) and machine learning technologies has ushered in a new era of possibilities for a multitude of sectors, including the field of translation. ChatGPT, a cutting-edge AI language model developed by OpenAI, is a prime example of this technological revolution. The power of ChatGPT lies in its … Read more

How to Leverage ChatGPT: Insurance

chatGPT insurance

In recent years, the emergence of artificial intelligence (AI) and machine learning technologies has opened up a world of possibilities for various industries, including the insurance sector. ChatGPT, a state-of-the-art AI language model developed by OpenAI, stands at the forefront of these innovations. By harnessing the capabilities of ChatGPT, insurance companies can transform their operations, … 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.