Search enterprise data assets using LLMs backed by knowledge graphs
Enterprises are facing challenges in accessing their data assets scattered across various […]
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Getting started with Amazon Bedrock Agents custom orchestrator
Generative AI agents are designed to interact with their environment to achieve […]
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Efficiently train models with large sequence lengths using Amazon SageMaker model parallel
Large language models (LLMs) have witnessed an unprecedented surge in popularity, with […]
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Use Amazon Bedrock Agents for code scanning, optimization, and remediation
Amazon Bedrock is a fully managed service that makes foundation models (FMs) […]
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Create a generative AI assistant with Slack and Amazon Bedrock
Seamless integration of customer experience, collaboration tools, and relevant data is the […]
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Unleash your Salesforce data using the Amazon Q Salesforce Online connector
Thousands of companies worldwide use Salesforce to manage their sales, marketing, customer […]
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Serving LLMs using vLLM and Amazon EC2 instances with AWS AI chips
The use of large language models (LLMs) and generative AI has exploded […]
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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, […]
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Reducing hallucinations in large language models with custom intervention using Amazon Bedrock Agents
Hallucinations in large language models (LLMs) refer to the phenomenon where the […]
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Enhanced observability for AWS Trainium and AWS Inferentia with Datadog
This post is co-written with Curtis Maher and Anjali Thatte from Datadog. […]
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