Machine Learning
-
Local Agentic AI Workflows with Hermes + Ollama
The Evolution of Localized AI Infrastructure The architecture described herein leverages two primary open-source pillars: Nous Research’s Hermes Agent and…
Read More » -
Deploying Multi-Agent AI Workflows on Amazon Bedrock AgentCore Runtime Instances: A Comprehensive Guide to Persistent Compute Architecture
Enterprise adoption of artificial intelligence has transitioned rapidly from basic, single-purpose conversational chatbots to sophisticated multi-agent systems designed to handle…
Read More » -
Building a Conversational Claims Assistant Using Amazon Bedrock Knowledge Bases and Agentic Retrieval
Insurance claims management has long suffered from information fragmentation, with critical data points scattered across diverse formats such as adjuster…
Read More » -
Automating Knowledge Graph Population: Extracting Entities and Triples from Unstructured Text with an LLM
The Problem of Hallucinations and the Promise of Structured Data For years, the industry relied on vector databases to handle…
Read More » -
XAI Grok 4.7 Arrives on Amazon Bedrock Bringing Advanced Coding and 500K Token Context to Enterprise Developers
The artificial intelligence landscape expanded significantly today with the official integration of xAI’s Grok 4.7 into Amazon Bedrock, making the…
Read More » -
XAI Integrates Frontier Model Grok 4.7 Into Amazon Bedrock With 500K Context Window and Advanced Reasoning Capabilities
The landscape of enterprise artificial intelligence experienced a significant shift today with the official integration of xAI’s flagship frontier model,…
Read More » -
Scaling Multimodal Reinforcement Learning Agents on Amazon SageMaker HyperPod Using SkyRL and GRPO
The rapid evolution of artificial intelligence has made reinforcement learning (RL) post-training a critical pillar for developing advanced language and…
Read More » -
Tool Calling vs. Code Execution for AI Agents: Choosing the Right Action Primitive
The evolution of autonomous AI agents has reached a critical juncture where the mechanism by which models interact with external…
Read More » -
Scaling Mixture-of-Experts Reinforcement Learning Workloads on AWS with Amazon EKS, EFA, and DeepEP
The commercial adoption of trillion-parameter artificial intelligence models has introduced unprecedented infrastructure challenges, particularly in the post-training phase of Large…
Read More » -
Scaling Reinforcement Learning for Mixture-of-Experts Models on AWS Using Amazon EKS, EFA, and DeepEP
Post-training large-scale Artificial Intelligence models has evolved into an exercise of extreme systems engineering, particularly when applied to Mixture-of-Experts (MoE)…
Read More »