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Mã nguồn mở Mới nhất

Mô hình trọng số mở tải về tự triển khai được, các framework mã nguồn mở và dự án AI đang nổi trên GitHub.

43 tin chọn30 trong 30 ngày quaĐã thu thập 186

Cập nhật 13 tháng 11 08:32

Mã nguồn mở · Tuyển chọn · trang 3

27 tháng 5Thứ TưMục 41–43 trong 43
  1. MiniMax Blog72

    MiniMax upgrades Agent as Mavis and launches Agent Teams for long-running tasks

    MiniMax upgraded MiniMax Agent under the new name Mavis and launched Agent Teams, which let multiple role-specific Agents run in parallel on the desktop for long, complex tasks. The system uses Leader, Worker and Verifier roles with a state-machine Team Engine that cycles tasks through producing, verifying and done, and it merges TokenPlan and Agent Plan into one subscription spanning CLI, API and Agent across M2.7, music, video and voice. MiniMax says the Agent will be open-sourced soon, expected alongside the MiniMax M3 model, while the desktop app is already available.

    Vì sao đáng chú ý: MiniMax explains the design tradeoffs behind its Leader-Worker-Verifier Agent Team, including handoff, sharing and aggregation costs, offering a concrete reference for building multi-Agent runtimes.

11 tháng 2Thứ Tư
  1. Modal Blog78

    Modal 上线 GLM-5 免费端点并发布自部署与前端接入指南

    Modal 推出 GLM-5 的免费 OpenAI API 兼容端点,可用至 4 月底,限单个并发请求,同时发布在单节点 8 张 B200 上用 SGLang 部署的可复现代码。

    Vì sao đáng chú ý: Modal 为 Z.ai 的 GLM-5 提供免费 OpenAI 兼容端点,并给出在 OpenCode、OpenClaw、Claude Code 和 Vercel AI SDK 中接入的具体配置。

26 tháng 9, 2025Thứ Sáu
  1. Modal Blog60

    Modal engineers reverse-engineer how Flash Attention 4 works

    Modal engineers read the released Flash Attention 4 source code and reverse-engineered how the Blackwell-optimized attention kernel works, since no official technical report exists yet. The write-up traces a tile through the kernel's warp-specialized asynchronous pipeline and details two math tricks: a cubic-polynomial software exponential that can replace SFU-based exponentiation, and a smarter online softmax rescaling rule that Tri Dao said cuts corrections by a factor of 10. FA4 is reported to be roughly 20% faster than Nvidia's closed-source cudnn attention kernels, and a backwards version was not yet available at the time of writing.

    Vì sao đáng chú ý: Modal engineers read the released Flash Attention 4 source and explain its warp-specialized pipeline and two math tricks, offering a transferable view of where CUDA kernel design is heading.