Enable faster training with Amazon SageMaker data parallel library

By Admin 05/12/2023

AWS Machine Learning Blog Large language model (LLM) training has become increasingly popular over the last year with the release of several publicly available models such as Llama2, Falcon, and StarCoder. Customers are now training LLMs of unprecedented size ranging from 1 billion to over 175 billion parameters. Training these LLMs requires significant compute resources […]Continue reading

Fine-tune and Deploy Mistral 7B with Amazon SageMaker JumpStart

By Admin 14/11/2023

AWS Machine Learning Blog Today, we are excited to announce the capability to fine-tune the Mistral 7B model using Amazon SageMaker JumpStart. You can now fine-tune and deploy Mistral text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. Foundation models perform very […]Continue reading

Integrate Amazon SageMaker Model Cards with the model registry

By Admin 19/07/2023

AWS Machine Learning Blog Amazon SageMaker Model Cards enable you to standardize how models are documented, thereby achieving visibility into the lifecycle of a model, from designing, building, training, and evaluation. Model cards are intended to be a single source of truth for business and technical metadata about the model that can reliably be used […]Continue reading

A new way to look at data privacy

By Admin 14/07/2023

MIT News – Artificial intelligence Imagine that a team of scientists has developed a machine-learning model that can predict whether a patient has cancer from lung scan images. They want to share this model with hospitals around the world so clinicians can start using it in diagnosis. But there’s a problem. To teach their model […]Continue reading