Reducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents
Intervening to reduce hallucinations in large language models using Amazon Bedrock Agents
Unleash 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
Build 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.
Using 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.
Cloudflare incident on November 14, 2024, resulting in lost logs
Incident analysis and prevention strategies after Cloudflare's log loss incident on November 14, 2024
How 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
Read 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
Rad 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
Build a read-through semantic cache with Amazon OpenSearch Serverless and Amazon Bedrock
Optimize LLM-based AI applications with a serverless read-through semantic cache using Amazon OpenSearch Serverless and Amazon Bedrock
Apply Amazon SageMaker Studio lifecycle configurations using AWS CDK
Guide on setting up lifecycle configurations for Amazon SageMaker Studio using AWS CDK
Create a virtual stock technical analyst using Amazon Bedrock Agents
Build a virtual stock technical analyst with Amazon Bedrock Agents
Enhanced observability for AWS Trainium and AWS Inferentia with Datadog
Monitor and optimize AWS Trainium and AWS Inferentia instances using Datadog's enhanced observability integration.