Backtracking

Can large language models identify and correct their mistakes?

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 …

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Ball position tracking in the cloud with the PGA TOUR

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, …

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The future of leadership development: Google Cloud AI-driven learning with Monark

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 …

Novel AI framework generates images from nothing

A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that, unlike other generative diffusion models, the machine-learning algorithm does not require initiating a “random seed” to get started.

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Rebuilding Netflix Video Processing Pipeline with Microservices

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 …

Breaking down the advantages and disadvantages of artificial intelligence

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 …