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Transformers and LLM Foundations
Folder: Research/Machine-Learning-and-AI/Transformers-and-LLM-Foundations
8 items under this folder.
Sep 23, 2026
Transformers and LLM Foundations - Index
type/index
source/ingested
topic/machine-learning
topic/transformers
topic/large-language-models
Sep 18, 2026
Autoregressive Language Modeling and Pretraining
source/ingested
topic/machine-learning
topic/large-language-models
topic/language-modeling
type/concept
doc/paper
Sep 18, 2026
Compute-Optimal Training (Chinchilla)
source/ingested
topic/machine-learning
topic/large-language-models
topic/scaling-laws
topic/resource-allocation
type/method
doc/paper
Sep 18, 2026
In-Context Learning and Few-Shot Prompting
source/ingested
topic/machine-learning
topic/large-language-models
topic/in-context-learning
topic/prompting
type/concept
doc/paper
Sep 18, 2026
Neural Scaling Laws
source/ingested
topic/machine-learning
topic/large-language-models
topic/scaling-laws
type/concept
doc/paper
Sep 18, 2026
Transformers and LLM Foundations - Overview
source/ingested
topic/machine-learning
topic/transformers
topic/large-language-models
type/overview
doc/paper
Sep 18, 2026
Scaled Dot-Product and Multi-Head Attention
source/ingested
topic/machine-learning
topic/transformers
topic/attention
type/concept
doc/paper
Sep 18, 2026
Transformer Architecture and Positional Encoding
source/ingested
topic/machine-learning
topic/transformers
topic/neural-network-architecture
type/concept
doc/paper