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Successful business owners know how important it is to have a plan in place for when unexpected events shut down normal operations. Modern enterprises face many types of disasters, including pandemics, cyberattacks, large-scale power outages and natural disasters. Last year, companies around the world spent close to USD 219 billion on cybersecurity and security solutions, …
Posted by Gladys Tyen, Intern, Google Research LLMs are increasingly popular for reasoning tasks, such as multi-turn QA, task completion, code generation, or mathematics. Yet much like people, they do not always solve problems correctly on the first try, especially on tasks for which they were not trained. Therefore, for such systems to be most …
Read more “Can large language models identify and correct their mistakes?”
The PGA TOUR continues to enhance the golf experience with real-time data that brings fans closer to the game. To deliver even richer experiences, they are pursuing the development of a next-generation ball position tracking system that automatically tracks the position of the ball on the green. The TOUR currently uses ShotLink powered by CDW, …
Read more “Ball position tracking in the cloud with the PGA TOUR”
In today’s rapidly evolving business landscape, organizations strive to develop agile leaders capable of navigating complex challenges. Traditional leadership development programs often fall short in providing real-time feedback, personalization, and continuous learning opportunities. However, advancements in generative AI and machine learning (ML) are revolutionizing the field of leadership development by offering innovative solutions to these …
Read more “The future of leadership development: Google Cloud AI-driven learning with Monark”
We’re launching the GPT Store to help you find useful and popular custom versions of ChatGPT.
Liwei Guo, Anush Moorthy, Li-Heng Chen, Vinicius Carvalho, Aditya Mavlankar, Agata Opalach, Adithya Prakash, Kyle Swanson, Jessica Tweneboah, Subbu Venkatrav, Lishan Zhu This is the first blog in a multi-part series on how Netflix rebuilt its video processing pipeline with microservices, so we can maintain our rapid pace of innovation and continuously improve the system for …
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Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more. Instead of relying on explicit instructions from a programmer, AI systems can learn from …
Read more “Breaking down the advantages and disadvantages of artificial intelligence”
This post is co-written with Jayadeep Pabbisetty, Sr. Specialist Data Engineering at Merck, and Prabakaran Mathaiyan, Sr. ML Engineer at Tiger Analytics. The large machine learning (ML) model development lifecycle requires a scalable model release process similar to that of software development. Model developers often work together in developing ML models and require a robust …
Today, we are excited to announce that the Document AI Custom Extractor, powered by generative AI, is Generally Available (GA), open to all customers, and ready for production use through APIs and the Google Cloud Console. The Custom Extractor, built with Google’s foundation models, helps parse data from structured and unstructured documents quickly and with …
Read more “Document AI Custom Extractor, powered by gen AI, is now Generally Available”
Ninety-eight percent of retailers plan to invest in generative AI in the next 18 months, according to a new survey conducted by NVIDIA. That makes retail one of the industries racing fastest to adopt generative AI to ramp up productivity, transform customer experiences and improve efficiency. Early deployments in the retail industry include personalized shopping …
Read more “How Generative AI Is Redefining the Retail Industry”