Improving your LLMs with RLHF on Amazon SageMaker | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2895893Time Stamp: Sep 22, 2023
How Chime Financial uses AWS to build a serverless stream analytics platform and defeat fraudsters | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2888783Time Stamp: Sep 19, 2023
Learn how to build and deploy tool-using LLM agents using AWS SageMaker JumpStart Foundation Models | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2884087Time Stamp: Sep 15, 2023
Securely process near-real-time data from Amazon MSK Serverless using an AWS Glue streaming ETL job with IAM authentication | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2884351Time Stamp: Sep 13, 2023
Unlocking language barriers: Translate application logs with Amazon Translate for seamless support | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2876746Time Stamp: Sep 12, 2023
Enable pod-based GPU metrics in Amazon CloudWatch | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2868785Time Stamp: Sep 7, 2023
Deploy self-service question answering with the QnABot on AWS solution powered by Amazon Lex with Amazon Kendra and large language models | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2854505Time Stamp: Aug 30, 2023
Monitor Apache Spark applications on Amazon EMR with Amazon Cloudwatch | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2854566Time Stamp: Aug 30, 2023
MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2853978Time Stamp: Aug 29, 2023
NoSQL vs. SQL: Five Key Differences – DATAVERSITY Source Cluster: DATAVERSITY Source Node: 2841525Time Stamp: Aug 24, 2023
Amazon CloudWatch metrics for Amazon OpenSearch Service storage and shard skew health | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2836279Time Stamp: Aug 21, 2023
Build ML features at scale with Amazon SageMaker Feature Store using data from Amazon Redshift | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2829173Time Stamp: Aug 17, 2023
Introducing AWS Glue crawler and create table support for Apache Iceberg format | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2826837Time Stamp: Aug 16, 2023
Build production-ready generative AI applications for enterprise search using Haystack pipelines and Amazon SageMaker JumpStart with LLMs | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2832787Time Stamp: Aug 14, 2023
Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2801204Time Stamp: Aug 3, 2023
Find the best Amazon Redshift configuration for your workload using Redshift Test Drive | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2788635Time Stamp: Jul 27, 2023
End-to-end development lifecycle for data engineers to build a data integration pipeline using AWS Glue | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2786544Time Stamp: Jul 26, 2023
Use generative AI foundation models in VPC mode with no internet connectivity using Amazon SageMaker JumpStart | Amazon Web Services Source Cluster: AWS Machine Learning Source Node: 2784421Time Stamp: Jul 25, 2023
Query your Apache Hive metastore with AWS Lake Formation permissions | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2775959Time Stamp: Jul 20, 2023
Build a serverless log analytics pipeline using Amazon OpenSearch Ingestion with managed Amazon OpenSearch Service | Amazon Web Services Source Cluster: AWS Big Data Source Node: 2769169Time Stamp: Jul 17, 2023