Networks unchained: the shift toward intent-based autonomous operations

Telecommunications industry, a cornerstone of global connectivity, has been going through a technological renaissance for some time, driven by innovations such as 5G, IoT, cloud computing and AI. As a result, networks have become increasingly hard to manage. There is a need for automation to handle routine tasks, monitor network health and respond to issues in …

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Mixed-input matrix multiplication performance optimizations

Posted by Manish Gupta, Staff Software Engineer, Google Research AI-driven technologies are weaving themselves into the fabric of our daily routines, with the potential to enhance our access to knowledge and boost our overall productivity. The backbone of these applications lies in large language models (LLMs). LLMs are memory-intensive and typically require specialized hardware accelerators …

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. Examples of applications include conversational search, customer support agent assistance, customer support analytics, self-service virtual assistants, chatbots, rich media generation, content moderation, coding companions to accelerate secure, high-performance software development, deeper insights …

Decoding Data: An Introduction to Descriptive Statistics with the Ames Housing Dataset

In this enlightening journey through the myriad lanes of Ames properties, we shine our spotlight on Descriptive Statistics, a cornerstone of Data Science. The study of the Ames properties dataset provides a rich landscape for implementing Descriptive Statistics to distill volumes of data into meaningful summaries. Descriptive statistics serve as the initial step in data …