CloudflareCloudflare incident on November 14, 2024, resulting in lost logs
Incident analysis of Cloudflare's lost logs due to misconfigurations in Logfwdr and Buftee systems
Google CloudCelebrate Small Business Saturday with ChromeOS
Empower small businesses with ChromeOS for secure, simplified IT management and cost savings.
AWS MLServing LLMs using vLLM and Amazon EC2 instances with AWS AI chips
Deploying LLMs using vLLM and Amazon EC2 instances with AWS AI chips
AWS MLDeploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM
Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM
AWS MLReducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents
Intervening to reduce hallucinations in large language models using Amazon Bedrock Agents
AWS MLUnleash your Salesforce data using the Amazon Q Salesforce Online connector
Leverage the Amazon Q Salesforce Online connector to unleash the value of Salesforce data with generative AI assistance
DatabricksBuild an Autonomous AI Assistant with Mosaic AI Agent Framework
Explore building an autonomous AI assistant with Mosaic AI Agent Framework and large language models for advanced natural language processing tasks.
AWS MLUsing LLMs to fortify cyber defenses: Sophos’s insight on strategies for using LLMs with Amazon Bedrock and Amazon SageMaker
Leveraging Large Language Models (LLMs) with Amazon Bedrock and Amazon SageMaker for bolstering cybersecurity defenses, with a focus on tasks such as query generation, incident severity prediction, and incident summarization from incoming incidents.
CloudflareCloudflare incident on November 14, 2024, resulting in lost logs
Incident analysis and prevention strategies after Cloudflare's log loss incident on November 14, 2024
AWS MLHow Crexi achieved ML models deployment on AWS at scale and boosted efficiency
Explore how Crexi implemented ML models deployment at scale on AWS to enhance efficiency
AWS MLRead graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock
Extract information from graphs, diagrams, tables, and scanned pages using multimodal prompts in Amazon Bedrock
AWS MLRad AI reduces real-time inference latency by 50% using Amazon SageMaker
Rad AI showcases how to reduce real-time inference latency by 50% using Amazon SageMaker in healthcare ML models deployment