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Modern generative AI model providers require unprecedented computational scale, with pre-training often involving thousands of accelerators running continuously for days, and sometimes months. Foundation Models (FMs) demand distributed training clusters — coordinated groups of accelerated compute instances, using frameworks like PyTorch — to parallelize workloads across hundreds of accelerators (like AWS Trainium and AWS Inferentia …

Accelerate foundation model training and inference with Amazon SageMaker HyperPod and Amazon SageMaker Studio Read More »

Meetings play a crucial role in decision-making, project coordination, and collaboration, and remote meetings are common across many organizations. However, capturing and structuring key takeaways from these conversations is often inefficient and inconsistent. Manually summarizing meetings or extracting action items requires significant effort and is prone to omissions or misinterpretations. Large language models (LLMs) offer …

Meeting summarization and action item extraction with Amazon Nova Read More »

Developing robust text-to-SQL capabilities is a critical challenge in the field of natural language processing (NLP) and database management. The complexity of NLP and database management increases in this field, particularly while dealing with complex queries and database structures. In this post, we introduce a straightforward but powerful solution with accompanying code to text-to-SQL using …

Building a custom text-to-SQL agent using Amazon Bedrock and Converse API Read More »

In this post, we explore how generative AI can revolutionize threat modeling practices by automating vulnerability identification, generating comprehensive attack scenarios, and providing contextual mitigation strategies. Unlike previous automation attempts that struggled with the creative and contextual aspects of threat analysis, generative AI overcomes these limitations through its ability to understand complex system relationships, reason …

Accelerate threat modeling with generative AI Read More »

Search Live with voice facilitates back-and-forth conversations in AI Mode. ​ 

The latest episode of the Google AI: Release Notes podcast focuses on how the Gemini team built one of the world’s leading AI coding models.Host Logan Kilpatrick chats w… ​ 

Gemini 2.5 Flash and Pro are now generally available, and we’re introducing 2.5 Flash-Lite, our most cost-efficient and fastest 2.5 model yet. ​ 

This post is co-written with Vicky Andonova and Jonathan Karon from Anomalo. Generative AI has rapidly evolved from a novelty to a powerful driver of innovation. From summarizing complex legal documents to powering advanced chat-based assistants, AI capabilities are expanding at an increasing pace. While large language models (LLMs) continue to push new boundaries, quality …

How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS Read More »

Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. Data analysts must translate business questions into SQL queries, creating workflow bottlenecks. Amazon Bedrock Knowledge Bases enables direct natural language interactions with structured data sources. …

Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases Read More »