AI, data privacy, and regulation, minus the noise.Get the insights that matter, straight from Limina.
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.
On December 20, the Quebec government published the Draft Regulation respecting the anonymization of personal information in the Quebec Gazette.
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.
The realm of Canada generative AI, encompassing technologies that generate content like text, images, and videos, have seen a significant surge in usage and development.
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.
67% of government agencies have increased their financial commitment to digital transformation. Long lines and endless paper documents no longer suffice – citizens now expect public services with less hassle and technology seamlessly embedded.
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.
We are thrilled to announce the release of Version 3.5. Packed with new features, improvements, and fixes that are crafted based on your feedback and our commitment to enhancing your experience and productivity.
Fine-tuning LLMs on proprietary data can dramatically improve model performance, but it also introduces serious privacy risks when that data contains PII. This article explores why generative AI amplifies those risks compared to earlier machine learning techniques, what real-world leaks have already occurred, and how redacting sensitive information before training protects your organization without sacrificing model quality.
In the second instalment, we further explore the multifaceted landscape of German data privacy, shedding light on challenges that emerge not just from linguistic intricacies, but also from the sociocultural and historical contexts that shape the use of the German language across the globe.
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.”
Fine-tuning large language models on domain-specific data unlocks powerful AI capabilities, but it introduces serious privacy risks. This guide walks through why PII redaction is a non-negotiable step in any ethical fine-tuning workflow, and how organizations in regulated industries can build compliant, trustworthy AI systems.
LangChain is a powerful tool that allows you to setup a conversation with your favourite LLMs with ease.
