AINewsnow

Training a Search-R1 agent with Flame: warm GPU services, gang scheduling, and incremental weight sync

I work on Flame , an open-source distributed engine for elastic workloads. We added a Search-R1 -style training example that teaches Qwen2.5-3B-Instruct to search a BM25 corpus while answering HotpotQA questions. The training loop runs as Python services: vLLM executors generate trajectories, PyTor…

Read the full story at r/reinforcementlearning ↗

Timeline · 1 report

  1. 2026-10-20 05:19 · r/reinforcementlearning
    Training a Search-R1 agent with Flame: warm GPU services, gang scheduling, and incremental weight sync

More stories

  1. Qwen3.8-27B at 53 tok/s decode on a single Intel Arc Pro B60 (24GB): llama.cpp Vulkan + DFlash2 + Intel FA kernel, raw logs included — r/LocalLLM
  2. Nscale, Anthropic in Talks for $45 Billion AI Computing Deal — Bloomberg AI
  3. Four Gemini 4 Argon agents beat Minecraft without any human help — The Decoder
  4. MiniMax launches M3.1 Flash, confirming Space Bunny was an early build — Vercel Blog
  5. DeepSeek barred from government agency IT systems — Politico Technology
  6. Inception debuts Mercury 3, a diffusion LLM that it says tops GPT-6 Luna, Claude Haiku 5.5, and GLM-5.3 Flash on agentic benchmarks while being 4x to 8x faster — Techmeme
  7. US bans DeepSeek AI from government systems: What the official notice says about ‘transfer of sensitive data’ to China — Mint AI
  8. US bans China's DeepSeek from government in race for AI dominance — BBC Technology

Get the daily brief of stories like this at 6:30 every morning →