AWS Machine Learning Blog
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
How Sun Finance and AWS accelerated document verification and reduced fraud risk
Sun Finance built an AI pipeline on AWS for identity verification: data extraction accuracy rose to 90.8%, verification time fell to under 5 seconds, and processing costs dropped by 91%.
AWS introduced a system for migrating and upgrading LLMs in production with prompt optimization
AWS introduced the Generative AI Model Agility Solution — an approach for migrating and upgrading LLMs in production with prompt conversion, optimization, and quality control.
AWS and Artificial Genius demonstrated a way to reduce LLM hallucinations in finance and medicine
AWS and Artificial Genius described a hybrid approach where Amazon Nova understands the request, and a deterministic layer restricts answers only to what can be verified against input data.
AWS explained the launch of reinforcement fine-tuning in Amazon Bedrock via OpenAI-compatible APIs
AWS released a step-by-step breakdown of reinforcement fine-tuning in Amazon Bedrock: with OpenAI-compatible API configuration, Lambda grader, model training, and inference without separate hosting.
AWS Explains How to Accelerate Fine-Tuning Llama 3.2 Vision on S3 Data
AWS demonstrated a practical scenario where SageMaker Unified Studio, Catalog, and S3 enable faster fine-tuning of Llama 3.2 11B Vision Instruct on unstructured data for VQA.
AWS Launches Amazon Bedrock in New Zealand with Claude and Cross-Region Inference
Amazon Bedrock is now available in the Asia Pacific (New Zealand) region: companies can now invoke Claude and Nova from Auckland, with load distributed between New Zealand and Australia.
AWS showed how to search for solar flares in SageMaker AI using ESA STIX instrument data
AWS published a breakdown showing how to train and deploy an LSTM model in SageMaker AI for detecting solar flares using ESA STIX instrument data.
AWS explained how to scale AI agent memory with namespace patterns in AgentCore Memory
AWS published a guide on namespace hierarchies, retrieval patterns, and IAM access control for AgentCore Memory — a long-term memory service for AI agents.
Amazon Bedrock AgentCore Runtime now supports serverless MCP-proxies
AWS demonstrated how to deploy serverless MCP-proxies in Amazon Bedrock AgentCore Runtime: a programmable layer with security policies, audit, and observability for AI agents.
Vanguard built a Virtual Analyst on AWS following eight AI-ready data principles
Vanguard — one of the world's largest asset managers — published a case study on how it built a Virtual Analyst on AWS following eight AI-ready data principles and achieved measurable business results.
PwC and AWS Demonstrate AI System for Contract Analysis with 90% Verification Reduction
PwC unveiled the AIDA system on AWS, which uses Amazon Bedrock to extract terms from contracts, answer questions about them, and, according to the company, reduces manual verification by up to 90%.
NVIDIA Releases Nemotron 3 Nano Omni on Amazon SageMaker JumpStart on Release Day
NVIDIA added Nemotron 3 Nano Omni to Amazon SageMaker JumpStart on release day to enable companies to quickly deploy multimodal AI scenarios for text, images, audio, and video.
AWS explained how to convert a text-based AI agent into a voice assistant on Nova 2 Sonic
AWS broke down the transition from a text agent to a voice assistant on Amazon Nova 2 Sonic: what changes in architecture, prompts, tools, and user experience.
AWS Shows How Amazon Nova Act Automates Competitor Price Monitoring
AWS described a system based on Amazon Nova Act that concurrently visits competitor websites, collects prices and promotions in structured form, and helps make pricing decisions faster.
Rocket Close Accelerated Mortgage Document Processing by 15x with AWS
Rocket Close, together with AWS, accelerated mortgage document processing by 15x, combining Amazon Textract for OCR and Amazon Bedrock for segmentation, classification, and field extraction with approximately 90% accurac
How TGS and AWS Reduced Seismic AI Model Training from Six Months to Five Days
TGS and AWS achieved nearly linear scaling of seismic foundation-model training, reducing the cycle from six months to five days and increasing the context window by 4.5x.
Guidesly Shows How Jack AI on AWS Transforms Trip Media into Reports and Marketing
Guidesly has built a pipeline on AWS for Jack AI: the service takes trip photos and videos, enriches them with context, analyzes them via CV and LLM, and produces ready-made reports and sales content.
AWS shows how speculative decoding on Trainium2 accelerates generation in vLLM
AWS explained how speculative decoding on Trainium2 and vLLM helps speed up generation in LLM services, reduce token cost, and increase throughput on long-response workloads.
Amazon Bedrock Added Formal Verification of AI Responses for Compliance Tasks
AWS is advancing Automated Reasoning checks in Amazon Bedrock: the service formally proves the correctness of model responses against specified rules and simplifies auditing in regulated industries.
AWS Presented a Practical Guide to Fine-Tuning Amazon Nova via Nova Forge SDK
AWS released a practical guide on fine-tuning Amazon Nova in Nova Forge SDK: from data preparation and blending to model training and result verification.
AWS shows how to cut semantic video search costs with Amazon Nova on Bedrock
AWS demonstrated how distillation in Amazon Bedrock transfers routing logic from Nova Premier to Nova Micro, reducing inference cost by more than 95% and latency by 50%.
AWS Shows How to Build AI Agents on SageMaker and Test Models via MLflow
AWS released a guide on building AI agents using Strands Agents SDK with models in SageMaker, tracing in MLflow, and working A/B tests between model variants.
Popsa Automated Personalized Titles Across 12 Languages with Amazon Nova
Popsa updated title generation using Amazon Bedrock, Nova, and Claude 3 Haiku: the system works in 12 languages, responds faster, and has already generated over 5.5 million personalized titles in 2025.
AWS showed Amazon Quick Flows — AI automation of tasks without code for business
AWS showed Amazon Quick Flows — a service that builds AI processes without code based on text description: from real-time financial analytics to employee onboarding.
AWS Showed How to Automatically Synchronize Amazon Bedrock Knowledge Bases via S3
AWS described a serverless architecture that tracks changes in S3, automatically launches ingestion jobs for Amazon Bedrock Knowledge Bases, manages API quotas, and provides monitoring.
Amazon Bedrock AgentCore and Nova 2 Sonic: Building Omnichannel Orders on AI Agents
AWS showed how to build a complete omnichannel order system based on AgentCore and the Nova 2 Sonic voice model—without being tied to a specific framework.
AWS Releases ToolSimulator for Safe Testing of AI Agents in Strands Evals
AWS has opened access to ToolSimulator — an LLM framework within the Strands Evals SDK for large-scale testing of AI agents without real API calls and the risk of data leakage.
Amazon SageMaker and DVC: end-to-end traceability of ML models from data to prediction
AWS showed how to combine DVC and SageMaker MLflow Apps for full traceability of the ML pipeline — at the dataset and individual-record levels.
CI/CD Pipeline for Amazon Lex: Conflict-Free Team Development
How isolated development environments and automated testing help teams scale chatbots on Amazon Lex without chaos.
AWS teaches Strands Agents to work with any model on SageMaker
Amazon showed how to connect language models deployed on SageMaker to the Strands Agents framework, even if they do not support the standard Bedrock API. We explain why this changes the game for enterprise AI.