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AWS Expande Ferramentas de LLM Personalizadas com SageMaker Sem Servidor e Melhorias no Bedrock

AWS Expande Ferramentas de LLM Personalizadas com SageMaker Sem Servidor e Melhorias no Bedrock
Amazon Web Services introduced a suite of new capabilities aimed at simplifying the creation of custom large language models for enterprise customers. At its re:Invent conference, AWS unveiled serverless model customization in SageMaker, offering both point‑and‑click and natural‑language‑driven workflows, and announced reinforcement fine‑tuning in Bedrock. The company also launched Nova Forge, a service that builds bespoke Nova models for a fixed annual fee. These moves signal AWS’s focus on frontier AI models and could help customers differentiate their AI solutions in a market dominated by Anthropic, OpenAI, and Gemini. Ler mais

AWS Expande Bedrock AgentCore com Controles de Política, Suíte de Avaliação e Recurso de Memória

AWS Expande Bedrock AgentCore com Controles de Política, Suíte de Avaliação e Recurso de Memória
Amazon Web Services unveiled a trio of upgrades to its Bedrock AgentCore platform at the re:Invent conference. The new Policy tool lets developers set natural‑language boundaries for AI agents, including data‑access limits and transaction caps, while integrating with the AgentCore Gateway to enforce those rules. A pre‑built Evaluations suite offers 13 metrics to monitor correctness, safety and tool‑selection accuracy. Finally, AgentCore Memory gives agents a persistent log of user preferences, enabling more personalized interactions. Vice‑president David Richardson emphasized that these layers together aim to make enterprise AI agents safer, more controllable, and more useful over time. Ler mais