repoGitHubTrust 82 · PrimaryPublished 27d agoLive · 21d ago
skyzh/tiny-llm
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 67%OpenAI and Broadcom announce chip designed for LLM inference at scale →
- PossiblePossibly related (embedding) · 56%OpenAI and Broadcom unveil LLM-optimized inference chip →
- PossiblePossibly related (embedding) · 52%Hardware startup unveils inference accelerator →
- PossiblePossibly related (embedding) · 52%Open Source Local LLM Training Tool (for consumer hardware) →
- PossiblePossibly related (embedding) · 52%DynaMiCS: Fine-Tuning LLMs with Performance Constraints Using Dynamic Mixtures - Apple Machine Learning Research →
Covers
newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsHardware startup unveils inference acceleratornewsOpen Source Local LLM Training Tool (for consumer hardware)newsDynaMiCS: Fine-Tuning LLMs with Performance Constraints Using Dynamic Mixtures - Apple Machine Learning Research
Related across the graph
newsOpen Source Local LLM Training Tool (for consumer hardware)newsOpenAI and Broadcom announce chip designed for LLM inference at scalenewsOpenAI and Broadcom unveil LLM-optimized inference chipnewsDynaMiCS: Fine-Tuning LLMs with Performance Constraints Using Dynamic Mixtures - Apple Machine Learning ResearchnewsHardware startup unveils inference accelerator