San Francisco-based startup Weights & Biases is launching two new capabilities aimed at helping organizations build and monitor machine learning (ML) models. These new features are designed to make it easier for enterprises to get AI models running effectively for production workloads. Weights & Biases is a platform that provides tools for AI/ML development visualization
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A new survey conducted by GE Healthcare has revealed that there is a significant level of distrust and skepticism surrounding the use of Artificial Intelligence (AI) in medical settings. The Reimagining Better Health poll surveyed 5,500 patients and patient advocates and 2,000 clinicians, and found that while the majority of doctors believe that AI has
Cloudera, a company that started in the Big Data era, is now making its way into the era of Big AI with Large Language Models (LLMs). Cloudera has launched its strategy and tools to help businesses integrate LLMs and generative AI into the company’s Cloudera Data Platform (CDP). The platform provides an open data lakehouse
McKinsey and Company, a global consulting firm with more than 30,000 employees across 67 countries, has embraced new generative AI tools in a major way. Almost 50% of the firm’s workforce is using ChatGPT and similar technology. AI Guidelines During a media event at McKinsey’s New York Experience Studio, Ben Ellencweig, senior partner, and global
At the Worldwide Developer Conference (WWDC) 2023 on Monday, Apple announced various new software features for its devices such as Apple Watch, Apple TV, AirPods, iPad, iPhone, computers, and the new Apple Vision Pro headset. These new features were mostly powered by artificial intelligence (AI) or “machine learning” (ML). Apple is committed to user privacy
In her 2023 TED Talk, computer scientist Yejin Choi stated that AI is both unbelievably intelligent and shockingly stupid. This apparent paradox arises because AI, including generative AI, is not designed to provide accurate, context-specific information for a specific task. Instead, generative AI models generate responses based on probable theories derived from their past experiences.
The Center for AI Safety (CAIS) recently released a statement, stressing the need to mitigate the risk of extinction from AI, indicating that it should be treated as a global priority alongside other societal-scale risks such as pandemics and nuclear war. The statement, signed by a host of academic experts and technology luminaries, warns of
AI technology has been a part of the larger tech narrative, and fear has also been a part of that conversation. One of the biggest reasons for this fear is the unknown as we don’t know exactly what implications this tech will have in the long run, and most people don’t understand what the tech
Generative AI has the potential to revolutionize the world, transforming social, cultural, and economic structures in ways that we can’t yet imagine. However, with this great power comes great responsibility, and it’s essential to ensure that innovation doesn’t outpace accountability. New regulatory guidance must be developed at the same rate as the launch of new
Artificial Intelligence (AI) is a topic of much debate in today’s world, with some seeing it as the latest disruptive technology that will open up new possibilities for learning, working, and living. Others are concerned about the rate of AI acceleration, calling for a pause in the training of new systems to understand better the