Knowledge Node v26.3 Technical Hub
AI Knowledge Base
The definitive repository of neural architectures, benchmarking protocols, and industrial deployment strategies. Cross-referenced via UMID.
Organizations
Leading entities in the AI ecosystem
- Meta AIRead ✓ BeginnerCreators of Llama and pioneers of open-weights research ⏱️ 3 min
- Google DeepMindRead ✓ BeginnerPioneers of Transformers and Gemini ⏱️ 4 min
- OpenAIRead ✓ BeginnerCreators of GPT-4 and ChatGPT ecosystem ⏱️ 5 min
- Mistral AIRead ✓ BeginnerEuropean leader in efficient MoE models ⏱️ 3 min
Benchmarks
Understanding AI model evaluation metrics
- What is MMLU?Read ✓ IntermediateMassive Multitask Language Understanding benchmark explained ⏱️ 5 min
- What is HumanEval?Read ✓ IntermediateCode generation benchmark for evaluating programming ability ⏱️ 4 min
- What is HellaSwag?Read ✓ IntermediateCommonsense reasoning benchmark explained ⏱️ 3 min
- What is ARC?Read ✓ IntermediateAI2 Reasoning Challenge for grade-school science questions ⏱️ 4 min
Model Architecture
Technical concepts behind AI models
Training & Alignment
Fine-tuning and aligning AI models
- What is LoRA?Read ✓ IntermediateLow-Rank Adaptation for efficient fine-tuning ⏱️ 5 min
- What is RLHF?Read ✓ AdvancedReinforcement Learning from Human Feedback ⏱️ 6 min
- What is DPO?Read ✓ IntermediateDirect Preference Optimization - simpler RLHF ⏱️ 4 min
- What is Tokenization?Read ✓ BeginnerHow models process text into discrete units ⏱️ 4 min
Inference & Optimization
Accelerating AI performance and deployment
- What is Flash Attention?Read ✓ AdvancedModern attention optimization for speed ⏱️ 5 min
- What is KV Cache?Read ✓ AdvancedMemory optimization for token generation ⏱️ 5 min
- Speculative DecodingRead ✓ AdvancedUsing draft models to accelerate inference ⏱️ 6 min
- Inference OptimizationRead ✓ IntermediateTechniques for faster model responses ⏱️ 7 min
- What is AWQ?Read ✓ IntermediateActivation-aware Weight Quantization ⏱️ 4 min
AI Engineering
Building reliable AI applications
- Chain of Thought (CoT)Read ✓ IntermediateImproving reasoning with step-by-step thinking ⏱️ 5 min
- Structured OutputRead ✓ IntermediateGenerating reliable JSON and schemas ⏱️ 6 min
- Function CallingRead ✓ IntermediateEnabling LLMs to use external tools ⏱️ 7 min
- Model MergingRead ✓ IntermediateCombining fine-tuned models effectively ⏱️ 6 min
Model Families
Guide to major AI model families
Local Deployment
Running AI models on your own hardware
Platform Metrics
Understanding Free2AITools metrics
AI Fundamentals
Core concepts and architectures
- Transformer ArchitectureRead ✓ AdvancedThe architecture behind modern language models ⏱️ 10 min
- Mixture of Experts (MoE)Read ✓ AdvancedEfficient scaling with conditional computation ⏱️ 7 min
- Model QuantizationRead ✓ IntermediateGGUF, GPTQ, AWQ formats explained ⏱️ 6 min
- VRAM RequirementsRead ✓ IntermediateMemory needs for running LLMs ⏱️ 4 min
- Local Inference CacheRead ✓ IntermediateRunning models on your own hardware ⏱️ 8 min
- Multimodal AIRead ✓ IntermediateProcessing text, images, and audio seamlessly ⏱️ 6 min
- RAG SystemsRead ✓ IntermediateRetrieval Augmented Generation architecture ⏱️ 7 min
- Inference OptimizationRead ✓ IntermediateAccelerating AI performance and deployment ⏱️ 7 min
- AI FundamentalsRead ✓ BeginnerCore concepts and architectures ⏱️ 5 min
- LLM EvaluationRead ✓ IntermediateHow model performance is measured ⏱️ 5 min
- Large Language Model (LLM)Read ✓ BeginnerFoundational concept of modern AI systems ⏱️ 5 min
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