Chapter 1: LLM Fundamentals
cline.ghost.io·1d
🎮Language Ergonomics
From Legal Documents to Knowledge Graphs
neo4j.com·4d·
Discuss: Hacker News
📈Earley Parsing
Is Recursion in LLMs a Path to Efficiency and Quality?
pub.towardsai.net·2d
🪜Recursive Descent
LLMs and Beyond: All Roads Lead to Latent Space
aiprospects.substack.com·20h·
Discuss: Substack
🔍ML Language
AI Tokenization Services
dev.to·2d·
Discuss: DEV
🔍Tokenizers
Is there a way to FINETUNE a TTS model LOCALLY to learn sound effects?
reddit.com·1d·
Discuss: r/LocalLLaMA
🔄Incremental Tokenizers
Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
arxiv.org·1d
🗂️Term Indexing
DeepSeek-R1 on Nature: How Pure Reinforcement Learning Unlocks LLM Reasoning
reddit.com·6h·
Discuss: r/LocalLLaMA
🪜Recursive Descent
Modular, On-Site Solutions with Lightweight Anomaly Detection for Sustainable Nutrient Management in Agriculture
arxiv.org·1d
✨Effect Inference
HARP: Hallucination Detection via Reasoning Subspace Projection
arxiv.org·2d
🪜Recursive Descent
Using Visual Language Models to Control Bionic Hands: Assessment of Object Perception and Grasp Inference
arxiv.org·2h
🔍ML Language
Ancient Scripts, Modern AI: Bridging the Divide with Morphology-Aware Tokenization by Arvind Sundararajan
dev.to·4d·
Discuss: DEV
⚡Tokenizer Benchmarks
Agentic AI for Financial Crime Compliance
arxiv.org·1d
🎭Racket
Evaluating LLM Alignment on Personality Inference from Real-World Interview Data
arxiv.org·1d
🪜Recursive Descent
Low-resourced languages get jailbroken more. Can SAEs explain why?
lesswrong.com·2d
🌱Tiny Languages
ZTree: A Subgroup Identification Based Decision Tree Learning Framework
arxiv.org·1d
🌳Tree Algorithms
Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
arxiv.org·1d
🪜Recursive Descent
Deep Lookup Network
arxiv.org·2h
🧩Persistent Vectors
Extending AI Agents by Adding Infinite Context Memory
github.com·6h·
Discuss: DEV
🏷️Attribute Grammars
FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning
arxiv.org·2h
🔗Memory Linearization