repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
llmsresearch/llm-flashcards
Visual knowledge bank for understanding large language models, with 180 concept cards from tokenization to deployment.
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) · 59%Show Me Examples: Inferring Visual Concepts from Image Sets →
- PossiblePossibly related (embedding) · 59%Book Review: Domain-Specific Small Language Models by Guglielmo Iozzia →
- PossiblePossibly related (embedding) · 57%Knowledge Distillation of Black-Box Large Language Models →
- PossiblePossibly related (embedding) · 60%Identifying Interactions at Scale for LLMs →
- PossiblePossibly related (embedding) · 59%IEEE Rolls Out Large Language Models Virtual Training Course →
- PossiblePossibly related (embedding) · 52%What's one local AI workflow you wish you'd discovered sooner? →
- PossiblePossibly related (embedding) · 51%New Server Hopes to Break Through AI’s “Memory Wall” →
- PossiblePossibly related (embedding) · 50%Understanding Large Language Models →
Implements
Covers
newsBook Review: Domain-Specific Small Language Models by Guglielmo IozzianewsKnowledge Distillation of Black-Box Large Language ModelsnewsIdentifying Interactions at Scale for LLMsnewsIEEE Rolls Out Large Language Models Virtual Training CoursenewsWhat's one local AI workflow you wish you'd discovered sooner?newsNew Server Hopes to Break Through AI’s “Memory Wall”
Covers (incoming)
newsIndustry Insights: A Guide to Vision Language Models: Emerging Trends and Applications - A3 Association for Advancing Automationnews[Paper] How much do language models memorize?newsThe Large Language Model (LLM) understands the world through human texts. A world model is needed f.. - 매일경제newsLarge Language Models Explained: How LLMs Actually Work and Who Builds the Biggest Ones - SQ MagazinenewsEY re-envisions RAG around multimodal knowledge graphs to improve accuracy - SiliconANGLEnewsI wrote a free, open-source book on LLMs. No fluff, just practical code and concepts. Looking for feedback! [P]newsA knowledge-enhanced domain-aware large language model agent for atrial fibrillation management - NaturenewsStudent AI Fellows: Piloting solutions to complex campus challenges with large language models - Inside UNC Charlotte
Implements (incoming)
paperTORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language ModelspaperChatImage: Navigating Long-Form LLM Answers through Interactive ImagespaperSearch Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual GenerationpaperTILDE: TILt-based Distributional Erasure for Concept UnlearningpaperTowards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model FinetuningpaperVocaDet: Sample-Driven Open-Vocabulary Object Detection and Segmentation via Visual Tokenization and Vector Database RetrievalpaperWorkflow as Knowledge: Semantic Persistence for LLM-Mediated WorkflowspaperScalable Visual Pretraining for Language IntelligencepaperEvoGraph-R1: Self-Evolving Multimodal Knowledge Hypergraphs for Agentic Retrieval
Related across the graph
newsStudent AI Fellows: Piloting solutions to complex campus challenges with large language models - Inside UNC CharlottepaperScalable Visual Pretraining for Language IntelligencenewsI wrote a free, open-source book on LLMs. No fluff, just practical code and concepts. Looking for feedback! [P]newsLarge Language Models Explained: How LLMs Actually Work and Who Builds the Biggest Ones - SQ MagazinepaperChatImage: Navigating Long-Form LLM Answers through Interactive Imagesnews[Paper] How much do language models memorize?newsKnowledge Distillation of Black-Box Large Language ModelspaperTILDE: TILt-based Distributional Erasure for Concept UnlearningnewsThe Large Language Model (LLM) understands the world through human texts. A world model is needed f.. - 매일경제paperTowards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model FinetuningpaperTORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language ModelsnewsNew Server Hopes to Break Through AI’s “Memory Wall”paperVocaDet: Sample-Driven Open-Vocabulary Object Detection and Segmentation via Visual Tokenization and Vector Database RetrievalnewsBook Review: Domain-Specific Small Language Models by Guglielmo IozziapaperUnderstanding Large Language ModelspaperWorkflow as Knowledge: Semantic Persistence for LLM-Mediated WorkflowsnewsEY re-envisions RAG around multimodal knowledge graphs to improve accuracy - SiliconANGLEnewsIEEE Rolls Out Large Language Models Virtual Training CoursenewsIndustry Insights: A Guide to Vision Language Models: Emerging Trends and Applications - A3 Association for Advancing AutomationnewsWhat's one local AI workflow you wish you'd discovered sooner?paperEvoGraph-R1: Self-Evolving Multimodal Knowledge Hypergraphs for Agentic RetrievalpaperShow Me Examples: Inferring Visual Concepts from Image SetsnewsA knowledge-enhanced domain-aware large language model agent for atrial fibrillation management - NaturepaperSearch Beyond What Can Be Taught: Evolving the Knowledge Boundary in Agentic Visual GenerationnewsIdentifying Interactions at Scale for LLMs