Sprinklr improves performance by 20% and reduces cost by 25% for machine learning inference on AWS Graviton3
This is a guest post co-written with Sprinklr's Ratnesh Jamidar and Vinayak Trivedi. sprinklers The mission is to unify silos, ...
This is a guest post co-written with Sprinklr's Ratnesh Jamidar and Vinayak Trivedi. sprinklers The mission is to unify silos, ...
LLMs like GPT-4 excel at language understanding, but struggle with high GPU memory usage during inference, which limits their scalability ...
The large language model or LLM inference has two phases, the request (or preload) phase to generate the first token ...
The reproducibility and transparency of large language models are crucial to promote open research, ensure the reliability of results, and ...
On-device machine learning (ML) moves cloud computing to personal devices, protecting user privacy and enabling intelligent user experiences. However, tailoring ...
This is a guest post co-written with the leadership team of Iambic Therapeutics. ai/" target="_blank" rel="noopener">Iambic Therapeutics is a drug ...
We are pleased to announce a new release of amazon SageMaker for Kubernetes operators using the AWS Drivers for Kubernetes ...
In January 2024, amazon SageMaker launched a new version (0.26.0) of Large Model Inference (LMI) Deep Learning Containers (DLCs). This ...
Meta, hell-bent on catching up to its rivals in the generative ai space, is spending ai-investment-priority-150500360.html">thousands of millions in their ...
ai/">OctoAI (formerly known as OctoML), today announced the launch of OctoStack, its new end-to-end solution for deploying generative ai models ...