AWS Machine Learning

Embodied AI Chess with Amazon Bedrock Generative AI continues to transform numerous industries and activities, with one such application being the […]

Search enterprise data assets using LLMs backed by knowledge graphs Enterprises are facing challenges in accessing their data assets scattered […]

John Snow Labs Medical LLMs are now available in Amazon SageMaker JumpStart Today, we are excited to announce that John Snow Labs’ Medical LLM – Sma […]

Connect SharePoint Online to Amazon Q Business using OAuth 2.0 ROPC flow authentication Enterprises face significant challenges accessing and […]

How 123RF saved over 90% of their translation costs by switching to Amazon Bedrock In the rapidly evolving digital content industry, multilingual […]

How Crexi achieved ML models deployment on AWS at scale and boosted efficiency This post is co-written with Isaac Smothers and James Healy-Mirkovich […]

Read graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock Large language models (LLMs) have come a long way from […]

Rad AI reduces real-time inference latency by 50% using Amazon SageMaker This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad […]

Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock In the field of generative AI, latency and cost pose […]

Apply Amazon SageMaker Studio lifecycle configurations using AWS CDK This post serves as a step-by-step guide on how to set up lifecycle […]

Create a virtual stock technical analyst using Amazon Bedrock Agents Stock technical analysis questions can be as unique as the individual stock […]

Enhanced observability for AWS Trainium and AWS Inferentia with Datadog This post is co-written with Curtis Maher and Anjali Thatte from Datadog.  […]

Using LLMs to fortify cyber defenses: Sophos’s insight on strategies for using LLMs with Amazon Bedrock and Amazon SageMaker This post is co-written […]

Serving LLMs using vLLM and Amazon EC2 instances with AWS AI chips The use of large language models (LLMs) and generative AI has exploded over the […]

Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM With the rise of large language models (LLMs) like Meta Llama 3.1, there is an […]

Reducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents Hallucinations in large language models (LLMs) […]

Unleash your Salesforce data using the Amazon Q Salesforce Online connector Thousands of companies worldwide use Salesforce to manage their sales, […]

AWS achieves ISO/IEC 42001:2023 Artificial Intelligence Management System accredited certificationAmazon Web Services (AWS) is excited to be the […]

Deploy Meta Llama 3.1 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium We’re excited to announce the a […]

Implement secure API access to your Amazon Q Business applications with IAM federation user access management Amazon Q Business is a conversational […]