Harvey 联合创始人 Gabe 分享应用层公司如何利用前沿生态系统、构建基准数据集并对开源模型进行后训练，从而与前沿实验室竞争。
Gabe from Harvey shares how application-layer companies can compete with frontier labs by leveraging the frontier ecosystem, building benchmarks, and post-training open-source models.
本期章节 · Chapters（共 11）
引言Introduction
预算内建研究实验室Building a Research Lab on a Budget
构建基准与训练数据Building Benchmarks and Training Data
与Neo Labs合作进行后训练Working with Neo Labs for Post-Training
后训练与服务基础设施Post-training and serving infrastructure
法律AI训练的数据生成Data Generation for Legal AI Training
招聘策略Hiring Strategy
创建基准评估标准Creating Rubrics for Benchmarking
调试流水线Debugging the Pipeline
后训练与门控Post-training and gating
项目管理与企业复杂性Project Management and Enterprise Complexity