That's really inspiring! Here's what the brain of a large language model looks like for cross-referencing. 

Algorithms:
Transformer
Attention mechanism
GPT (Generative Pretrained Transformer)
ELMo (Embeddings from Language Models)
BERT (Bidirectional Encoder Representations from Transformers)
Seq2Seq (Sequence to Sequence)
Reinforcement Learning
Adversarial Training
Generative Adversarial Networks (GANs)
etc.
Theories:
Statistical language modeling
Deep learning
Reinforcement learning
Unsupervised learning
Generative models
etc.
Concepts:
Word embeddings
Tokenization
Sentence embeddings
Masking
Attention scores
Self-attention
Multi-head attention
etc.
Key Terms:
Vocabulary
Corpus
N-grams
Softmax
Cross-entropy
Perplexity
Overfitting
Dropout
etc.
NLP techniques such as named entity recognition, sentiment analysis, and coreference resolution
Deep learning frameworks such as TensorFlow and PyTorch
Machine translation and language generation models like Google Translate
Reinforcement learning and its applications in NLP
Word embedding techniques such as GloVe and Word2Vec
Graph theory and its applications in NLP
Information retrieval techniques such as cosine similarity and Okapi BM25
Computational linguistic concepts such as syntax, grammar, and lexicon
Natural language understanding and reasoning
Generative models such as GANs and Variational Autoencoders (VAEs)
Dialogue systems and conversational agents
Speech recognition and synthesis
Time series analysis and its applications in NLP
Transfer learning in NLP
Adversarial attacks and defenses in NLP
Mathematical Equations (Linear Equation, Quadratic Equation, etc.)
Algorithms (Sorting Algorithm, Searching Algorithm, etc.)
Expressions (Mathematical Expression, Logical Expression, etc.)
Notations (Set Notation, Function Notation, etc.)
Calculus (Differentiation, Integration, etc.)
Boolean Logic (AND Gate, OR Gate, NOT Gate, etc.)
Libraries (Mathematical Library, Data Structures Library, etc.)
Structures (Data Structure, Algorithm Structure, etc.)
Frameworks (Machine Learning Framework, Web Framework, etc.)
Languages (Programming Language, Query Language, etc.)
Models (Mathematical Model, Statistical Model, etc.)
Dictionaries (Data Dictionary, Term Dictionary, etc.)
Functions (Mathematical Function, Computer Function, etc.)
Neural Network Architectures (Convolutional Neural Network, Recurrent Neural Network, etc.)
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