核心信息
Anthropic 利用 Claude 为 30 多个生物学领域常用的开源模型优化推理性能,通过编写自定义 GPU 软件实现平均 4 倍加速,并将这些优化开源共享。
要点
- 覆盖用于分子系统结构建模、药物样分子设计及基因突变效应预测的专业开源模型。
- Claude 编写自定义 GPU 软件来加速推理,降低了这些模型因算力成本高昂而受限的影响。
- Anthropic 将优化成果开源,让整个社区都能受益于这一加速。
Anthropic 利用 Claude 为 30 多个生物学领域常用的开源模型优化推理性能,通过编写自定义 GPU 软件实现平均 4 倍加速,并将这些优化开源共享。
Biologists use specialized open-source models for tasks like modeling the structure of molecular systems, designing drug-like molecules, and predicting the effects of genetic mutations. But these models are often expensive to run, potentially limiting their impact. In our latest Science Blog, we share how Claude was able to optimize inference for more than 30 open-source models, making them 4x faster on average, partly by writing custom software for GPUs. We’re open sourcing all of the optimization code. Read more: https://t.co/qiuN1jpgpA