AWS News Blog
Category: Generative AI
Convert AWS console actions to reusable code with AWS Console-to-Code, now generally available
AWS Console-to-Code generates reusable infrastructure as code from your AWS console actions, supporting HAQM EC2, RDS, and VPC. With a few clicks, get CloudFormation, CDK (TypeScript, Python, Java), or CLI code – a game-changer for streamlining cloud automation workflows.
AWS Weekly Roundup: HIPAA eligible with HAQM Q Business, HAQM DCV, AWS re:Post Agent, and more (Oct 07, 2024)
Last Friday, I had the privilege of attending China Engineer’s Day 2024(CED 2024) in Hangzhou as the HAQM Web Services (AWS) speaker. The event was organized by the China Computer Federation (CCF), one of the most influential professional developer communities in China. At CED 2024, I spoke about how AI development tools can improve developer […]
Introducing Llama 3.2 models from Meta in HAQM Bedrock: A new generation of multimodal vision and lightweight models
Pushing the boundaries of generative AI, Meta unveils Llama 3.2, a groundbreaking language model family featuring enhanced capabilities, broader applicability, and multimodal image support, now available in HAQM Bedrock.
Data engineering professional certificate: New hands-on specialization by DeepLearning.AI and AWS
Gain indispensable data engineering expertise through a hands-on specialization by DeepLearning.AI and AWS. This professional certificate covers ingestion, storage, querying, modeling, and more.
Stability AI’s best image generating models now in HAQM Bedrock
Generate photorealistic images with exceptional detail. Enhance visuals effortlessly across industries with improved multi-subject prompts, stunning image quality, and impeccable typography.
HAQM Titan Image Generator v2 is now available in HAQM Bedrock
HAQM Titan Image Generator v2 provides unprecedented creative capabilities: image conditioning, color control, background removal, and subject preservation via fine-tuning for brand consistency.
Announcing Llama 3.1 405B, 70B, and 8B models from Meta in HAQM Bedrock
The Llama 3.1 models are a collection of 8B, 70B, and 405B parameter size multilingual models that demonstrate state-of-the-art performance on a wide range of industry benchmarks, offering new capabilities for your generative AI applications.
Vector search for HAQM MemoryDB is now generally available
Store, index, retrieve, and search vectors with in-memory performance for use cases like retrieval augmentation, semantic caching, and anomaly detection through single-digit millisecond queries.