基本信息
- 来源: blogs_podcasts
- 原始来源: https://aws.amazon.com/blogs/machine-learning/the-art-and-science-of-hyperparameter-optimization-on-amazon-nova-forge
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。
Large language models (LLMs) deliver strong results on general tasks, but they often struggle with specialized work that requires understanding proprietary data, internal processes, or domain-specific terminology. Amazon Nova Forge addresses this by enabling you to build your own frontier models using Amazon Nova . You can start development from early model checkpoints, blend proprietary data with Amazon Nova-curated training data, and host custom models securely on AWS. A key capability is data mixing, which blends your training data with curated datasets. This helps the model absorb your domain while retaining broad reasoning, instruction-following, and language capabilities. This prevents catastrophic forgetting that typically undermines domain customization.…
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