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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 …

Customer experience examples that drive value

Organizations that provide an excellent customer experience (CX) can improve sales revenues by 2 to 7 percent and profitability by 1 to 2 percent, according to McKinsey. It’s no surprise. Focusing on good CX can increase customer satisfaction and drive more meaningful customer interactions, ultimately increasing sales and customer retention. As such, more organizations are …