Why LLMs Hallucinate

Low-Rank Adaptation (LoRA) Explained

Multi-Head Attention (MHA), Multi-Query Attention (MQA), Grouped Query Attention (GQA) Explained

Transformer Self-Attention Mechanism Visualized

LLM Prompt Engineering with Random Sampling: Temperature, Top-k, Top-p

Jailbroken: How Does LLM Safety Training Fail? - Paper Explained

LLM Tokenizers Explained: BPE Encoding, WordPiece and SentencePiece

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits - Paper Explained

Chain-of-Verification (COVE) Reduces Hallucination in Large Language Models - Paper Explained

RLHF: Training Language Models to Follow Instructions with Human Feedback - Paper Explained

BART Explained: Denoising Sequence-to-Sequence Pre-training

Sliding Window Attention (Longformer) Explained

BLEU Score Explained

ROUGE Score Explained

Vector Database Search - Hierarchical Navigable Small Worlds (HNSW) Explained

MMaDA: Multimodal Large Diffusion Language Models - Paper Walkthrough

The Illusion of Thinking - Paper Walkthrough

DeepSeek-R1 - Paper Walkthrough

Why Larger Language Models Do In-context Learning Differently? - Paper Walkthrough

Qwen3 - Paper Walkthrough