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This paper was accepted at the workshop on Regulatable ML at NeurIPS 2023. Conformal Prediction (CP) is a method of estimating risk or uncertainty when using Machine Learning to help abide by common Risk Management regulations often seen in fields like healthcare and finance. CP for regression can be challenging, especially when the output distribution …
by Peter Wilczynski, Product Lead for the Ontology System “Show me the incentive and I’ll show you the outcome” — Charlie Munger I. As an industry, we are producing more software at an ever-increasing rate and yet the impact of this software on economic productivity has been marginal. This lack of progress is inherent to how the software industry …
The General Data Protection Regulation (GDPR) is a European Union (EU) law that governs how organizations collect and use personal data. Any company operating in the EU or handling EU residents’ data must adhere to GDPR requirements. However, GDPR compliance is not necessarily a straightforward matter. The law outlines a set of data privacy rights …
Amazon Textract is a machine learning (ML) service that enables automatic extraction of text, handwriting, and data from scanned documents, surpassing traditional optical character recognition (OCR). It can identify, understand, and extract data from tables and forms with remarkable accuracy. Presently, several companies rely on manual extraction methods or basic OCR software, which is tedious …
Read more “Build a vaccination verification solution using the Queries feature in Amazon Textract”
We wanted to stage a quick little contest to see how creative the main AIs currently are. Here goes … Hey ChatGPT, give me the most creative idea you can come up with. How about a “Time Capsule Restaurant”? This unique dining experience would be set in a space designed like a time capsule, where …
Whether your industry faces challenges from geopolitical strife, fallout from a global pandemic or rising aggression in the cybersecurity space, the threat vector for modern enterprises is undeniably powerful. Disaster recovery strategies provide the framework for team members to get a business back up and running after an unplanned event. Worldwide, the popularity of disaster …
Read more “How to build a successful disaster recovery strategy”
In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. Pre-trained language models (PLMs) are undergoing rapid commercial and enterprise adoption in the areas of productivity tools, customer service, search and recommendations, business process automation, and …
If you’ve joined a new team recently like I have, you’ve probably had a lot of questions. And answers to those questions may or may not be things you can find easily, and might rely heavily on the generosity, and spare time of your teammates. Let’s say you’re a DevRel engineer, working with Google Kubernetes …
Read more “Figuring out microservices running on your GKE cluster with help from Duet AI”
Chatbots can help your customers and potential clients find or input information quickly by instantly responding to requests that use audio input, text input or a combination of both, eliminating the need for human intervention or manual research. Chatbots are everywhere, providing customer care support and assisting employees who use smart speakers at home, SMS, …
Read more “Unlocking the power of chatbots: Key benefits for businesses and customers”
Posted by Jiefeng Chen, Student Researcher, and Jinsung Yoon, Research Scientist, Cloud AI Team In the fast-evolving landscape of artificial intelligence, large language models (LLMs) have revolutionized the way we interact with machines, pushing the boundaries of natural language understanding and generation to unprecedented heights. Yet, the leap into high-stakes decision-making applications remains a chasm …
Read more “Introducing ASPIRE for selective prediction in LLMs”