Machine Learning
“`html Practical AI Solutions for Faster Docker Builds The Challenge Docker container build durations are a common problem for traditional CI/CD solutions today, causing build times to be very slow. The Solution: Meet Depot Depot is an innovative AI startup that offers a cloud-accelerated container build service to speed up the building of Docker images,…
This article discusses how organizations can use Amazon Comprehend, an AI/ML service, to build and optimize custom classification models. It provides guidelines on data preparation, model creation, and model tuning. The article also explores techniques for handling underrepresented data classes and mentions the cost of using Amazon Comprehend.
Large language models (LLMs) like Llama 2 have gained popularity among developers, scientists, and executives. Llama 2, recently released by Meta, can be fine-tuned on AWS Trainium to reduce training time and cost. The model uses the Transformer’s decoder-only architecture, has three sizes, and pre-trained models are trained on 2 trillion tokens. Distributed training is…
Amazon SageMaker Canvas is a visual tool that allows medical clinicians to build and deploy machine learning (ML) models for image classification without coding or specialized knowledge. It offers a user-friendly interface for selecting data, specifying output, and automatically building and training the model. This approach simplifies the process of developing ML models for medical…
Generative AI is being adopted by healthcare and life sciences customers to help extract valuable insights from data. Use cases include document summarization and converting unstructured text into standardized formats. Customers are looking for performant and cost-effective models, as well as the ability to customize them. This article explains how to deploy a Falcon large…
Prior authorization is a crucial process in healthcare that involves the approval of medical treatments before they are carried out. The Da Vinci Burden Reduction project has rearranged the prior authorization process into three implementation guides aimed at reducing complexity. The Coverage Requirements Discovery (CRD) guide focuses on determining authorization requirements using Clinical Decision Support…