AINewsnow

Tried `jingyaogong/minimind`: Train a 64M LLM in Two Hours

This story is from 2026-08-31. It is preserved in the archive; the latest stories are on the live feed.

Tried jingyaogong/minimind : Train a 64M LLM in Two Hours jingyaogong/minimind is gaining serious attention today, with +472 GitHub stars . The reason is simple: it turns LLM training from an opaque, multi-node infrastructure problem into a readable, runnable project. MiniMind is a compact educatio…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-08-31 12:02 · DEV Community — AI
    Tried `jingyaogong/minimind`: Train a 64M LLM in Two Hours

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  3. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  4. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  5. NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
  6. AI hallucination of Chinese nuclear components almost led to US military attack — Ars Technica AI
  7. The new AgentCore runtime: Elastic, optimized, and consistently fast starts — AWS Machine Learning Blog
  8. Qwen Image 2.1 PR to ComfyUI — r/StableDiffusion

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