ML 17334 RAG

Optimizing costs of generative AI applications on AWS

The report The economic potential of generative AI: The next productivity frontier, published by McKinsey & Company, estimates that generative AI could add an equivalent of $2.6 trillion to $4.4 trillion in value to the global economy. The largest value will be added across four areas: customer operations, marketing and sales, software engineering, and R&D. …

Crossing the Uncanny Valley: Breakthrough in technology for lifelike facial expressions in androids

Even highly realistic androids can cause unease when their facial expressions lack emotional consistency. Traditionally, a ‘patchwork method’ has been used for facial movements, but it comes with practical limitations. A team developed a new technology using ‘waveform movements’ to create real-time, complex expressions without unnatural transitions. This system reflects internal states, enhancing emotional communication …

ML 17850 SMHP Arch

PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium

Training large language models (LLMs) models has become a significant expense for businesses. For many use cases, companies are looking to use LLM foundation models (FM) with their domain-specific data. However, companies are discovering that performing full fine tuning for these models with their data isn’t cost effective. To reduce costs while continuing to use the …