Evaluating prompts at scale with Prompt Management and Prompt Flows for Amazon Bedrock
As generative artificial intelligence (AI) continues to revolutionize every industry, the importance […]
Read moreCategory: Machine learning
Deploy Amazon SageMaker pipelines using AWS Controllers for Kubernetes
Kubernetes is a popular orchestration platform for managing containers. Its scalability and […]
Read more
Build an ecommerce product recommendation chatbot with Amazon Bedrock Agents
Many ecommerce applications want to provide their users with a human-like chatbot […]
Read more
Effectively manage foundation models for generative AI applications with Amazon SageMaker Model Registry
Generative artificial intelligence (AI) foundation models (FMs) are gaining popularity with businesses […]
Read more
How Thomson Reuters Labs achieved AI/ML innovation at pace with AWS MLOps services
This post is co-written by Danilo Tommasina and Andrei Voinov from Thomson […]
Read more
Build a generative AI image description application with Anthropic’s Claude 3.5 Sonnet on Amazon Bedrock and AWS CDK
Generating image descriptions is a common requirement for applications across many industries. […]
Read more
Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless
Harnessing the power of big data has become increasingly critical for businesses […]
Read more
Best practices for prompt engineering with Meta Llama 3 for Text-to-SQL use cases
With the rapid growth of generative artificial intelligence (AI), many AWS customers […]
Read more
Implementing advanced prompt engineering with Amazon Bedrock
Despite the ability of generative artificial intelligence (AI) to mimic human behavior, […]
Read more
Accelerate Generative AI Inference with NVIDIA NIM Microservices on Amazon SageMaker
This post is co-written with Eliuth Triana, Abhishek Sawarkar, Jiahong Liu, Kshitiz […]
Read more