repoGitHubTrust 82 · PrimaryPublished 11h agoLive · 3m ago
fkkarakurt/Nerve
Run a real LLM, sentence embeddings and on-device learning in pure C - one header, zero dependencies. TinyLlama-1.1B on a 2017 laptop CPU; the same code as a 65 KB WebAssembly module in your browser. Deterministic, auditable, embeddable anywhere C compiles.
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) · 46%What is neuro-symbolic AI? - University of Cincinnati →
- PossiblePossibly related (embedding) · 51%Looking for feedback on a small test SLM I built completely from scratch [P] →
- PossiblePossibly related (embedding) · 48%Book Review: Domain-Specific Small Language Models by Guglielmo Iozzia →
- PossiblePossibly related (embedding) · 46%Identifying Interactions at Scale for LLMs →
- PossiblePossibly related (embedding) · 46%IEEE Rolls Out Large Language Models Virtual Training Course →
Covers
newsWhat is neuro-symbolic AI? - University of CincinnatinewsLooking for feedback on a small test SLM I built completely from scratch [P]newsBook Review: Domain-Specific Small Language Models by Guglielmo IozzianewsIdentifying Interactions at Scale for LLMsnewsIEEE Rolls Out Large Language Models Virtual Training Course
Related across the graph
newsLooking for feedback on a small test SLM I built completely from scratch [P]newsBook Review: Domain-Specific Small Language Models by Guglielmo IozzianewsIEEE Rolls Out Large Language Models Virtual Training CoursenewsWhat is neuro-symbolic AI? - University of CincinnatinewsIdentifying Interactions at Scale for LLMs