A post from Amazon AWS : How Indeed builds and deploys fine-tuned LLMs on Amazon SageMaker
This post is cowritten with Ethan Handel and Zhiyuan He from Indeed.com. Indeed is the…
A post from Amazon AWS : Improve LLM application robustness with Amazon Bedrock Guardrails and Amazon Bedrock Agents
Agentic workflows are a fresh new perspective in building dynamic and complex business use case-based…
A post from Amazon AWS : Dive deep into vector data stores using Amazon Bedrock Knowledge Bases
Customers across all industries are experimenting with generative AI to accelerate and improve business outcomes.…
A post from Amazon AWS : Enable or disable ACL crawling safely in Amazon Q Business
Amazon Q Business recently added support for administrators to modify the default access control list…
A post from Amazon AWS : SK Telecom improves telco-specific Q&A by fine-tuning Anthropic’s Claude models in Amazon Bedrock
SK Telecom (SKT), South Korea’s leading telecommunications company serving 30 million customers, is at the…
A post from Amazon AWS : Scaling Rufus, the Amazon generative AI-powered conversational shopping assistant with over 80,000 AWS Inferentia and AWS Trainium chips, for Prime Day
Amazon Rufus is a shopping assistant experience powered by generative AI. It generates answers using…
A post from Amazon AWS : Exploring alternatives and seamlessly migrating data from Amazon Lookout for Vision
Amazon Lookout for Vision, the AWS service designed to create customized artificial intelligence and machine…
A post from Amazon AWS : Unlock the knowledge in your Slack workspace with Slack connector for Amazon Q Business
Amazon Q Business is a fully managed, generative AI-powered assistant that you can configure to…
A post from Amazon AWS : Transitioning off Amazon Lookout for Metrics
Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies…
A post from Amazon AWS : Efficient Pre-training of Llama 3-like model architectures using torchtitan on Amazon SageMaker
This post is co-written with Less Wright and Wei Feng from Meta Pre-training large language models…