Reactive Machines
KV Cache Management: PagedAttention & RadixAttention
7 days ago
KV Cache Management: PagedAttention & RadixAttention
Modern LLMs rely on quantization, pruning, distillation, and faster attention kernels, but production performance often depends most on KV cache…
Introducing cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock
1 week ago
Introducing cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock
This post is co-written with Chris Dickens from OpenAI. Amazon Bedrock now offers OpenAI GPT-5.6 models on Amazon Bedrock in…
Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment
1 week ago
Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment
Healthcare, retail, and life sciences organizations generate massive quantities of operational data in cloud data warehouses like Snowflake. While these…
Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore
1 week ago
Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore
AI agents can automate complex workflows but might take actions that don’t align with your organization’s policies or regulatory constraints…
Scaling Laws for Mixture Pretraining Under Data Constraints
1 week ago
Scaling Laws for Mixture Pretraining Under Data Constraints
As language models scale, the amount of data they require grows – yet many target data sources, such as low-resource…
Progressive Refinement: An Iterative Pseudo-Labeling Approach for Mandarin-English Code-Switching ASR
1 week ago
Progressive Refinement: An Iterative Pseudo-Labeling Approach for Mandarin-English Code-Switching ASR
Self-training has been shown to be helpful in addressing data scarcity for many domains, including vision, speech, and language. Specifically,…
Domain and publish date filters for Web Search on AgentCore
1 week ago
Domain and publish date filters for Web Search on AgentCore
When an AI agent uses Web Search to ground its answers on behalf of a customer, the organization behind that…
How Fanatics Betting and Gaming built a multi-agent customer support system
1 week ago
How Fanatics Betting and Gaming built a multi-agent customer support system
Fanatics Betting and Gaming (FBG) built a multi-agent customer support system on AWS to solve a challenge unique to sports…
Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts
1 week ago
Examining Human-Like Behaviors in LLMs: A Multi-Dimensional Analysis of Model Behaviors, User Factors, and System Prompts
Large language models (LLMs) exhibit a wide range of human-like behaviors, from expressing thoughts and emotions, to engaging in relationship-building…
The P-Completeness of Inverted Index Traversal: On the Complexity of Evaluating Boolean Query DAGs
1 week ago
The P-Completeness of Inverted Index Traversal: On the Complexity of Evaluating Boolean Query DAGs
Modern AI agents increasingly rely on search infrastructure to execute complex, neuro-symbolic reasoning workflows. These workflows often compile into deeply…