Category: Generative AI

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 Amazon Bedrock.

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.

Generate photorealistic images with exceptional detail. Enhance visuals effortlessly across industries with improved multi-subject prompts, stunning image quality, and impeccable typography.

Amazon Titan Image Generator v2 provides unprecedented creative capabilities: image conditioning, color control, background removal, and subject preservation via fine-tuning for brand consistency.

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.

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.

Effortlessly build apps with AI-powered low-code tools, enabling organizations to create secure custom apps in minutes without dev teams – streamlining processes like claims, inventory, and approvals.

Craft generative AI apps from conversations using natural language and approved data sources. Customize securely shared apps, specifying data sources per card and new APIs for programmatic app management.