基本信息
- 来源: blogs_podcasts
- 原始来源: https://aws.amazon.com/blogs/machine-learning/customize-amazon-nova-models-with-amazon-bedrock-fine-tuning
来源摘要/节选
公开展示已截断至最多 800 个字符;请访问原始来源查看完整上下文。
Today, we’re sharing how Amazon Bedrock makes it straightforward to customize Amazon Nova models for your specific business needs. As customers scale their AI deployments, they need models that reflect proprietary knowledge and workflows — whether that means maintaining a consistent brand voice in customer communications, handling complex industry-specific workflows or accurately classifying intents in a high-volume airline reservation system. Techniques like prompt engineering and Retrieval-Augmented Generation (RAG) provide the model with additional context to improve task performance, but these techniques do not instill native understanding into the model.…
来源说明
当前只保存了公开页面节选,不代表原文全文。请以原始来源为准。
本页只呈现已做哈希绑定的来源证据,不包含基于旧正文或缺失原文的扩展推断。