The Future of AI
A new version of luz is now available on CRAN. luz is a high-level interface for torch. It aims to reduce the boilerplate code necessary to train torch models while being as flexible as possible, so you can adapt it to run all kinds of deep learning models. If you want to get started with … Read more
The need for automation in the insurance industry is more pressing than ever. According to a recent study by Datos Insights, the insurance industry lags in terms of digitisation, with only 20% automation in underwriting and less than 3% automation in claims processing across sectors. This gap represents a significant opportunity for improvement and cost … Read more
We previously shared our insights on the tactics we have honed while operating LLM applications. Tactics are granular: they are the specific actions employed to achieve specific objectives. We also shared our perspective on operations: the higher-level processes in place to support tactical work to achieve objectives. Learn faster. Dig deeper. See farther. But where do … Read more
Today, we resume our exploration of group equivariance. This is the third post in the series. The first was a high-level introduction: what this is all about; how equivariance is operationalized; and why it is of relevance to many deep-learning applications. The second sought to concretize the key ideas by developing a group-equivariant CNN from … Read more
Traditional (manual) underwriting processes often struggle to keep pace with the growing complexity of modern risk assessment, data collection, and policy management. 🧐 According to a McKinsey report, manual underwriting processes can increase operational costs by up to 40% and extend the underwriting cycle time by several days to weeks! Scaling traditional underwriting operations becomes … Read more
At O’Reilly, we’re not just building training materials about AI. We’re also using it to build new kinds of learning experiences. One of the ways we are putting AI to work is our update to Answers. Answers is a generative AI-powered feature that aims to answer questions in the flow of learning. It’s in every … Read more
OpenAI’s chatGPT has awakened a collective awareness of what Large Language Models (LLMs) are capable of. With that awakening comes a daily march of LLM news: new products, new features, new models, new capabilities, (and new worries). It seems we’re in the early stages of a Cambrian explosion of LLMs and LLM powered tools; it’s … Read more
With almost 3 billion active users worldwide, WhatsApp has become an excellent channel for businesses looking to connect with their audience effectively. The WhatsApp Business API takes its functionality to the next level. The API lets you send messages to thousands of customers automatically. You can send texts, images, videos, and even interactive messages. It’s … Read more
In today’s data-driven world, ensuring the security and privacy of machine learning models is a must-have, as neglecting these aspects can result in hefty fines, data breaches, ransoms to hacker groups and a significant loss of reputation among customers and partners. DataRobot offers robust solutions to protect against the top 10 risks identified by The … Read more
The latest release of O’Reilly Answers is the first example of generative royalties in the AI era, created in partnership with Miso. This new service is a trustworthy source of answers for the O’Reilly learning community and a new step forward in the company’s commitment to the experts and authors who drive knowledge across its … Read more