从 LLM 基础讲到用 LLMOps 最佳实践把 RAG 应用部署到 AWS 的实战手册,覆盖微调、评估与 ML 系统设计。
哈佛 CS249r 的机器学习系统教材,覆盖基础、扩展、智能体 AI 与具身 AI 四卷,系统讲解从云端到边缘的 ML 系统设计与工程实践。
一套 12 节动手课程,带你用 LLMOps 最佳实践从零搭建可上线的 LLM 与 RAG 系统,覆盖数据采集、训练、推理到部署全流程。
…t attention. by @tpegolotti in https://github.com/ml-explore/mlx/pull/4563 python: Add pos support to array by @aaishwarymishra in https://github.com/ml-explore/mlx/pull/
…-size axis by @eyupcanakman in https://github.com/ml-explore/mlx/pull/4340 Add a correction parameter in std and var by @prady0t in https://github.com/ml-explore/mlx/pull
…adata arrays by @danlee2002 in https://github.com/ml-explore/mlx/pull/3823 Document default values in normalization layer docstrings by @Pablosinyores in https://github.c
…aions with cmake by @zcbenz in https://github.com/ml-explore/mlx/pull/3424 Enable swap for all CI building CUDA by @zcbenz in https://github.com/ml-explore/mlx/pull/3437
…sion v0.4.0 by @huangyz0918 in https://github.com/MLSysOps/MLE-agent/pull/208 [MRG] update readme for 0.4.0 by @HuaizhengZhang in https://github.com/MLSysOps/MLE-agent/pu
…uild: 0.3.1 by @huangyz0918 in https://github.com/MLSysOps/MLE-agent/pull/124 [MRG] add star history by @HuaizhengZhang in https://github.com/MLSysOps/MLE-agent/pull/125