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Recent years have witnessed an explosion in the proliferation of self-storage units. These large, warehouse units have sprung up nationally as a booming industry because of one reason—the average person now has more possessions than they know what to do with. The same basic situation also plagues the world of IT. We’re in the midst …
When deploying a large language model (LLM), machine learning (ML) practitioners typically care about two measurements for model serving performance: latency, defined by the time it takes to generate a single token, and throughput, defined by the number of tokens generated per second. Although a single request to the deployed endpoint would exhibit a throughput …
Read more “Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart “
A New Paradigm for Computer Vision Workflows Massive investments are being made across the DoD to develop and field Machine Learning (ML) based capabilities for intelligence and operational data sources. In particular, the application of Computer Vision (CV) models on top of overhead aerial imagery has become a key focus area for teams looking to …
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 …
Read more “Networks unchained: the shift toward intent-based autonomous operations”
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 …
Read more “Mixed-input matrix multiplication performance optimizations”
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 …
We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, and soon, lower pricing on GPT-3.5 Turbo.
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 …
Amazon Q is a new generative AI-powered application that helps users get work done. Amazon Q can become your tailored business expert and let you discover content, brainstorm ideas, or create summaries using your company’s data safely and securely. You can use Amazon Q to have conversations, solve problems, generate content, gain insights, and take …
Read more “Deploy a Microsoft Teams gateway for Amazon Q, your business expert”