ZHZisZZ/dllm

• highreadme#1

  Elevate the core definition of dLLM in the README

  原因：

  当前

  The current structure where 'Simple Diffusion Language Modeling' is a paragraph under H1, and the detailed definition is in the 'Overview' section.

  复制粘贴的修复

  复制

  Replace the `<p align="center">Simple Diffusion Language Modeling</p>` with a more explicit and prominent statement, perhaps directly under the H1, like: `dLLM is a library that unifies the training and evaluation of diffusion language models, bringing transparency and reproducibility to the entire development pipeline.`

  待办完成忽略
• hightopics#2

  Add more specific diffusion-related topics

  原因：

  当前

  discrete-diffusion-models, llm, nlp

  复制粘贴的修复

  复制

  discrete-diffusion-models, diffusion-models, language-modeling, nlp, generative-ai, deep-learning, transformers

  待办完成忽略
• mediumreadme#3

  Add a 'Why dLLM?' or 'Comparison' section to the README

  原因：

  复制粘贴的修复

  复制

  Add a new section titled 'Why dLLM?' or 'Comparison to other Diffusion/LLM Frameworks' that explicitly states what dLLM is *not* (e.g., not a general LLM inference engine like vLLM) and highlights its unique focus on unifying training and evaluation for *diffusion language models* compared to libraries like Hugging Face Diffusers or Transformers.

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I train and evaluate diffusion models for natural language generation tasks?

  你：未被推荐
  AI 推荐顺序：

  1. Hugging Face Transformers
  2. Diffusers
  3. GLIDE
  4. DALL-E 2
  5. CompVis Latent Diffusion Models
  6. Stable Diffusion
  7. Imagen
  8. Parti
  9. PyTorch
  10. TensorFlow

  AI 推荐了 10 个替代方案，却始终没点名 ZHZisZZ/dllm。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Seeking a library for scalable training and unified evaluation of discrete diffusion language models.

  你：未被推荐
  AI 推荐顺序：

  1. Hugging Face Transformers (huggingface/transformers)
  2. PyTorch-Lightning (Lightning-AI/pytorch-lightning)
  3. Diffusers (huggingface/diffusers)
  4. JAX (google/jax)
  5. Flax (google/flax)
  6. DeepSpeed (microsoft/DeepSpeed)
  7. OpenAI's `guided-diffusion` (openai/guided-diffusion)

  AI 推荐了 7 个替代方案，却始终没点名 ZHZisZZ/dllm。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of ZHZisZZ/dllm?

  pass
  ✓AI 明确点名了 ZHZisZZ/dllm

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts ZHZisZZ/dllm in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 ZHZisZZ/dllm

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo ZHZisZZ/dllm solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 ZHZisZZ/dllm

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？