AI Knowledge Base

Understanding AI model evaluation metrics

• What is MMLU?

  Read ✓ Intermediate
  Massive Multitask Language Understanding benchmark explained ⏱️ 5 min
• What is HumanEval?

  Read ✓ Intermediate
  Code generation benchmark for evaluating programming ability ⏱️ 4 min

Technical concepts behind AI models

• What is Context Length?

  Read ✓ Beginner
  Understanding token windows and memory in LLMs ⏱️ 3 min
• What is RAG?

  Read ✓ Intermediate
  Retrieval Augmented Generation for knowledge-grounded AI ⏱️ 6 min

Fine-tuning and aligning AI models

• What is LoRA?

  Read ✓ Intermediate
  Low-Rank Adaptation for efficient fine-tuning ⏱️ 5 min
• What is RLHF?

  Read ✓ Advanced
  Reinforcement Learning from Human Feedback ⏱️ 6 min
• What is DPO?

  Read ✓ Intermediate
  Direct Preference Optimization - simpler RLHF ⏱️ 4 min
• What is Tokenization?

  Read ✓ Beginner
  How models process text into discrete units ⏱️ 4 min

Accelerating AI performance and deployment

• What is Flash Attention?

  Read ✓ Advanced
  Modern attention optimization for speed ⏱️ 5 min
• What is KV Cache?

  Read ✓ Advanced
  Memory optimization for token generation ⏱️ 5 min
• Speculative Decoding

  Read ✓ Advanced
  Using draft models to accelerate inference ⏱️ 6 min
• Inference Optimization

  Read ✓ Intermediate
  Techniques for faster model responses ⏱️ 7 min
• What is AWQ?

  Read ✓ Intermediate
  Activation-aware Weight Quantization ⏱️ 4 min

Building reliable AI applications

• Chain of Thought (CoT)

  Read ✓ Intermediate
  Improving reasoning with step-by-step thinking ⏱️ 5 min
• Structured Output

  Read ✓ Intermediate
  Generating reliable JSON and schemas ⏱️ 6 min
• Function Calling

  Read ✓ Intermediate
  Enabling LLMs to use external tools ⏱️ 7 min
• Model Merging

  Read ✓ Intermediate
  Combining fine-tuned models effectively ⏱️ 6 min

Running AI models on your own hardware

• What is GGUF?

  Read ✓ Advanced
  Quantized model formats for efficient local inference ⏱️ 6 min

Understanding Free2AITools metrics

• What is FNI?

  Read ✓ Beginner
  Free2AITools Nexus Index - our model trust score explained ⏱️ 2 min
• What is Deploy Score?

  Read ✓ Beginner
  Model deployability measurement explained ⏱️ 2 min

Core concepts and architectures

• Transformer Architecture

  Read ✓ Advanced
  The architecture behind modern language models ⏱️ 10 min
• Mixture of Experts (MoE)

  Read ✓ Advanced
  Efficient scaling with conditional computation ⏱️ 7 min
• Model Quantization

  Read ✓ Intermediate
  GGUF, GPTQ, AWQ formats explained ⏱️ 6 min
• VRAM Requirements

  Read ✓ Intermediate
  Memory needs for running LLMs ⏱️ 4 min
• Local Inference Cache

  Read ✓ Intermediate
  Running models on your own hardware ⏱️ 8 min
• Multimodal AI

  Read ✓ Intermediate
  Processing text, images, and audio seamlessly ⏱️ 6 min
• RAG Systems

  Read ✓ Intermediate
  Retrieval Augmented Generation architecture ⏱️ 7 min
• Inference Optimization

  Read ✓ Intermediate
  Accelerating AI performance and deployment ⏱️ 7 min
• LLM Evaluation

  Read ✓ Intermediate
  How model performance is measured ⏱️ 5 min