Our teams help you discover and deploy AI capabilities quickly and efficiently by leveraging the right technology to meet your business needs. We specialize in designing and building experiences for large language models (LLMs).
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While it is often difficult to manage the inherent probabilistic nature of LLMs, our teams have deep experience applying a variety of foundational techniques to manage around this inconsistency and increase model performance in an effort to reduce latency, improve accuracy, and reduce costs.
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The lack of evaluations has been a key challenge for deploying AI models to production. By treating model evaluations as unit tests for LLM and pairing prompting with evaluations, our experts can transform ambiguous dialogues into quantifiable experiments, making AI a more manageable software product.
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Enterprises often struggle with rigid, outdated front-end systems that drive up costs and hinder their ability to adapt to market demands. Here's what a modern, AI-ready tech stack looks like and how you can achieve AI readiness incrementally in complex enterprise environments.
Discover the OWASP Top 10 for LLMs & GenAI and learn essential strategies to secure your AI models and applications.
Looking for a practical guide to navigating regulatory compliance of the 2024 EU AI Act? This comprehensive resource is designed for companies building products powered by generative AI – what the act calls general purpose AI models. Stay compliant and build user trust with our actionable steps and best practices.
The "Future of AI-Powered Healthcare" meetup explored how AI is transforming women's health by improving diagnostics, treatment options, and addressing care disparities. Cindy, Garima Gale, Shazia Akbar, and Emma Tolstorf shared insights on advancements in personalized medicine, focusing on fertility, hormonal tracking, and pelvic health, with companies like Future Fertility, Juniper Genomics and Eli Health leading the way. Emphasizing the importance of creating data sets tailored to women's unique physiological needs, the session also highlighted strategies for ensuring equitable access to AI-powered healthcare. This includes leveraging existing hardware like smartphones and partnering with enterprises to provide personalized care solutions that are accessible and practical for all women.
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Learn the ways in which AI is creating Smart Experiences in digital products today.
Machine learning and artificial intelligence (AI) can be daunting subjects. You might've heard about neural networks, generative adversarial networks (GANs), and recurrent neural networks (RNNs) but have no clue what people are talking about.
The purpose of this article is to help you begin designing with artificial intelligence(AI). This isn’t just a battle cry that “you too can become an AI designer!” but rather a reflection on our experiences exploring the intersection of AI and design —creating what we at Rangle call Smart Experiences. Think of Smart Experiences as experiences that feel “smart” and that help you avoid tedious or repetitive work. A Smart Experience can be as simple as an auto-complete suggestion and as complex as a virtual agent capable of answering your every question.
This past December I attended a Machine Learning for Creativity and Design workshop at NeurIPS 2018 in Montreal. NeurIPS (formerly NIPS) is a Conference on Neural Information Processing Systems or what today is often referred to as "AI". It's one of the most popular conferences in the space attracting thousands of submissions and attendants each year.
Join us to learn and contribute to Canada's artificial intelligence community.
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