Build safe generative AI applications like a Pro: Best Practices with Amazon Bedrock Guardrails

Favorite Are you struggling to balance generative AI safety with accuracy, performance, and costs? Many organizations face this challenge when deploying generative AI applications to production. A guardrail that’s too strict blocks legitimate user requests, which frustrates customers. One that’s too lenient exposes your application to harmful content, prompt attacks,

Read More
Shared by AWS Machine Learning March 3, 2026

Build a serverless conversational AI agent using Claude with LangGraph and managed MLflow on Amazon SageMaker AI

Favorite Customer service teams face a persistent challenge. Existing chat-based assistants frustrate users with rigid responses, while direct large language model (LLM) implementations lack the structure needed for reliable business operations. When customers need help with order inquiries, cancellations, or status updates, traditional approaches either fail to understand natural language

Read More
Shared by AWS Machine Learning March 3, 2026

Building specialized AI without sacrificing intelligence: Nova Forge data mixing in action

Favorite Large language models (LLMs) perform well on general tasks but struggle with specialized work that requires understanding proprietary data, internal processes, and industry-specific terminology. Supervised fine-tuning (SFT) adapts LLMs to these organizational contexts. SFT can be implemented through two distinct methodologies: Parameter-Efficient Fine-Tuning (PEFT), which updates only a subset

Read More
Shared by AWS Machine Learning March 3, 2026

Reinforcement fine-tuning for Amazon Nova: Teaching AI through feedback

Favorite Foundation models deliver impressive out-of-the-box performance for general tasks, but many organizations need models to consume their business knowledge. Model customization helps you bridge the gap between general-purpose AI and your specific business needs when building applications that require domain-specific expertise, enforcing communication styles, optimizing for specialized tasks like

Read More
Shared by AWS Machine Learning February 27, 2026

Learnings from COBOL modernization in the real world

Favorite There’s a lot of excitement right now about AI enabling mainframe application modernization. Boards are paying attention. CIOs are getting asked for a plan. AI is a genuine accelerator for COBOL modernization but to get results, AI needs additional context that source code alone can’t provide.Here’s what we’ve learned

Read More
Shared by AWS Machine Learning February 27, 2026