With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon SageMaker Studio is the first fully integrated ML development environment (IDE) with a web-based visual interface. You can perform all ML development …
Vodafone is one of the largest telecommunications companies in the world, and committed to building next-generation connectivity and a sustainable digital future. Last year, we discussed AI Booster, an AI/ML platform that we built that runs on Google Cloud, and how we use it to optimize customer service, improve customer loyalty, and provide better product …
Read more “Vodafone: A DevOps approach to AI/ML through cloud-native CI/CD pipelines”
In short, yes. When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality uses those criteria to measure the level of data integrity and, in turn, its reliability and applicability for its …
Read more “Data integrity vs. data quality: Is there a difference?”
Posted by Jerry Wei, Student Researcher, and Denny Zhou, Principal Scientist, Google Research A key feature of human intelligence is that humans can learn to perform new tasks by reasoning using only a few examples. Scaling up language models has unlocked a range of new applications and paradigms in machine learning, including the ability to …
Read more “Symbol tuning improves in-context learning in language models”
Recent years have shown amazing growth in deep learning neural networks (DNNs). This growth can be seen in more accurate models and even opening new possibilities with generative AI: large language models (LLMs) that synthesize natural language, text-to-image generators, and more. These increased capabilities of DNNs come with the cost of having massive models that …
Large Machine Learning (ML) models – such as large language models, generative AI, and vision models – are dramatically increasing the number of trainable parameters and are achieving state-of-the-art results. Increasing the number of parameters results in the model being too large to fit on a single VM instance thus demands distributed compute to spread …
Read more “Improve training time of distributed machine learning with NCCL Fast Socket”
A watershed moment on Nov. 22, 2022, was mostly virtual, yet it shook the foundations of nearly every industry on the planet. On that day, OpenAI released ChatGPT, the most advanced artificial intelligence chatbot ever developed. This set off demand for generative AI applications that help businesses become more efficient, from providing consumers with answers …
Read more “AI-Fueled Productivity: Generative AI Opens New Era of Efficiency Across Industries”
New white paper investigates models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI. Growing awareness of the global impact of advanced artificial intelligence (AI) has inspired public discussions about the need for international governance structures to help manage opportunities and mitigate risks involved. Many discussions have drawn …
We’re delighted about the recent unveiling of IBM and Adobe’s dynamic partnership to help brands accelerate their content supply chains using generative AI. Our longstanding partnership with Adobe allows us to offer an unparalleled range of services to meet the evolving needs of the marketing and creative community. So, what does this partnership mean in …