Emergent Abilities: When AI Suddenly "Gets It"
Understanding emergent abilities in large language models - sudden capabilities that appear at scale thresholds, from arithmetic to reasoning and self-reflection.
8 min readConcept
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llms
Explore machine learning concepts related to llms. Clear explanations and practical insights.
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Concepts Found
Concepts Related to llms
Prompt Engineering: Guiding AI Through Language
Master the art of prompt engineering - from basic composition to advanced techniques like Chain-of-Thought and Tree-of-Thoughts.
4 min readConcept
Prompt Influence Flow: How Instructions Propagate Through Model Layers
Deep dive into how different prompt components influence model behavior across transformer layers, from surface patterns to abstract reasoning.
6 min readConcept
Neural Scaling Laws: The Mathematics of Model Performance
Understanding neural scaling laws - the power law relationships between model size, data, compute, and performance that govern AI capabilities and guide development decisions.
8 min readConcept
Context Windows: The Memory Limits of LLMs
Interactive visualization of context window mechanisms in LLMs - sliding windows, expanding contexts, and attention patterns that define what models can "remember".
6 min readConcept
Flash Attention: IO-Aware Exact Attention
Interactive visualization of Flash Attention - the breakthrough algorithm that makes attention memory-efficient through tiling, recomputation, and kernel fusion.
7 min readConcept
KV Cache: The Secret to Fast LLM Inference
Interactive visualization of key-value caching in LLMs - how caching transformer attention states enables efficient text generation without quadratic recomputation.
7 min readConcept
Tokenization: Converting Text to Numbers
Interactive exploration of tokenization methods in LLMs - BPE, SentencePiece, and WordPiece. Understand how text becomes tokens that models can process.
5 min readConcept