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A practical guide to building and validating multi-turn reinforcement learning reward functions with Amazon Nova Forge, including BYOO orchestration, GRPO-based updates, and safeguards for code execution and instrumentation.

Guide to building agentic, multi-agent workflows by integrating SageMaker AI's OpenAI-compatible endpoints with Bedrock AgentCore to achieve cost efficiency, data residency, and end-to-end token-level observability.

A concise guide to designing and validating multi-turn reinforcement learning reward functions for Amazon Nova Forge, detailing BYOO orchestration, GRPO-based training, and practical pitfalls, instrumentation, and safety considerations.

Bringing AI directly to the data warehouse via AI Functions in a unified Databricks Lakehouse, this post demonstrates SQL-based use cases that fuse structured data with unstructured content under a single governance model.

OpenAI appoints Dali Rajic as Chief Revenue Officer to build a scalable, global revenue operating system that accelerates enterprise AI and makes AI broadly useful.

Ultrafast mode, powered by GPT-5.6 Sol and Cerebras, delivers up to 14x faster throughput via the OpenAI API, enabling real-time frontier intelligence across incident response, financial research, commerce, and customer support.

A production-focused guide to GPT-5.6 for startups, showing how smarter model selection, persistent reasoning, parallel multi-agent orchestration, and programmatic tool calling deliver faster, more capable agents at a fraction of the cost.

OpenAI appoints Dali Rajic as Chief Revenue Officer to scale the global revenue organization and accelerate AI adoption across enterprises and users by building a repeatable revenue operating system for a compute-powered economy.

Ultrafast mode previews GPT-5.6 Sol running up to 14x faster on a Cerebras-powered OpenAI API, enabling real-time frontier intelligence across incident response, financial research, customer support, and live experimentation.

OpenAI appoints Dali Rajic as Chief Revenue Officer to build a scalable, global revenue engine for enterprise AI and accelerate its go-to-market strategy.

A practical blueprint for startups to dramatically boost agent performance with GPT-5.6 while slashing costs, leveraging smarter model selection, reasoning persistence and compaction, parallel multi-agent orchestration, and programmatic tool calling via new Responses API primitives.

Ultrafast mode accelerates GPT-5.6 Sol to up to 14x the speed with Cerebras, delivering real-time, ultra-low-latency inference across incident response, financial research, customer support, commerce, and live experimentation.