Another is to route simpler queries to smaller, more cost-efficient models. At its re:Invent conference in Las Vegas, AWS on Wednesday announced both of these features for its Bedrock LLM hosting ...
While foundational models themselves are not new, Amazon's approach is groundbreaking in its focus on solving two key challenges: cost-efficiency and scalability. (Please note I am an AWS Alumni).
designed to streamline the fine-tuning of open-weight models like Meta’s Llama. According to AWS, enterprises can also pool GPU resources for dynamic allocation, improving cost efficiency by up ...
AWS has of course used this event to detail ... to enable developers with the power to get directed to the most cost-effective model for any given inference job. Amazon Kendra was also showcased ...
At last year’s AWS re:Invent conference ... with a focus on making model training and fine-tuning on HyperPod more efficient and cost-effective for enterprises. HyperPod is now in use by ...