🌇China Community Day: Haowen Wong (AWS Advocate) Generative AI

#communityday #startup #ai #bedrock

Highlight:

ML open source:

PyTorch: A user-friendly, Pythonic deep learning framework with strong research focus and vibrant community.

TensorFlow: A powerful, flexible, and scalable end-to-end machine learning platform with a wide range of tools and libraries.

HuggingFace: A one-stop-shop for state-of-the-art natural language processing models, making it easy for beginners to get started.

OpenXLA: A high-performance, open-source compiler infrastructure that optimizes machine learning workloads for a variety of hardware platforms.

AWS Storing service:

EFS: Elastic File System
Scalable, highly available, and durable file storage service for your cloud-based applications and workloads.

S3: Simple Storage Service
Secure, scalable, and reliable object storage service for storing and retrieving any amount of data.

FSx: Amazon Elastic File System
Fully managed file storage services for Windows (FSx for Windows File Server) and Lustre (FSx for Lustre).

AWS Orchestration service:

EKS: Amazon Elastic Kubernetes Service
Easily run and manage Kubernetes, a popular container orchestration system, on AWS infrastructure.

ECS: Amazon Elastic Container Service
Efficiently run and scale Docker containers on AWS, with easy deployment and management.

Batch: AWS Batch
Fully managed batch processing service for running batch computing workloads of any scale.

Parallel cluster: AWS Parallel Cluster
Seamlessly provision and manage high-performance computing (HPC) clusters on AWS for parallel workloads.

AWS Database service:

Amazon Relational Database Service (RDS)
Relational: Fully managed, highly scalable and available relational database service.

Amazon DynamoDB
Key-value: Fast and flexible NoSQL database service for internet-scale applications.

Amazon DocumentDB (with MongoDB compatibility)
Document: Fully managed document database service that is compatible with MongoDB.

Amazon Neptune
Graphic: Fully managed graph database service for building and running applications that work with highly connected datasets.

Amazon Timestream
Time series: Fully managed time series database service for IoT and operational applications.

Amazon Managed Blockchain
Blockchain: Managed blockchain service for creating and managing scalable blockchain networks.

Amazon ElastiCache
In-memory: In-memory data store and cache service for fast data processing and caching.

AWS Services for Data Analysis:

Amazon Redshift (Data Warehouse): Fast, fully managed, petabyte-scale data warehouse for business intelligence and analytics.

AWS Glue (Data Integration): Serverless data integration service for building and running ETL workflows.

Amazon EMR (Big Data): Fully managed Hadoop and Spark service for processing and analyzing vast amounts of data.

Amazon Kinesis (Real-time): Fully managed real-time data streaming service for building applications that analyze streaming data.

Amazon Redshift (Data Warehouse): Fast, fully managed, petabyte-scale data warehouse for business intelligence and analytics.

Amazon QuickSight (Business Intelligence): Fast, cloud-powered business intelligence service for creating and sharing interactive dashboards.

Amazon Athena (Operational Analysis): Serverless interactive query service to analyze data in Amazon S3 using standard SQL.

Bedrock privacy:

Bedrock knowledge base:

Comprehensive, curated repository of fundamental information to build a strong foundation.
Support RAG
don't need create other vector database

Bedrock Guardrail:

Sturdy, secure barrier to protect systems and processes, preventing errors and maintaining stability
Responsibility AI

Developer Q developer:

Interactive platform connecting developers, enabling collaborative problem-solving, knowledge sharing, and community support
Help decrease learning curve, upgrade system
Example: Analysis operative, coding security, scan, debug, code suggestions, test case, auto recovery bug, add productivity

Extract transform load (ETL):