How Axfood enables accelerated machine learning throughout the organization using Amazon SageMaker

Techniques and approaches for monitoring large language models on AWS

Getting started with Amazon Titan Text Embeddings

Benchmark and optimize endpoint deployment in Amazon SageMaker JumpStart

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning

Modernizing data science lifecycle management with AWS and Wipro

Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain

Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

Build an end-to-end MLOps pipeline using Amazon SageMaker Pipelines, GitHub, and GitHub Actions