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Introduction to Python and Large Language Models: A Guide to Language Models
book

Introduction to Python and Large Language Models: A Guide to Language Models

by Dilyan Grigorov
October 2024
Intermediate to advanced
395 pages
8h 14m
English
Apress
Content preview from Introduction to Python and Large Language Models: A Guide to Language Models
Index
A
Adaptation
alignment-tuning
alignment verification/utilization
fine-tuning
prompting
Approximate Nearest Neighbor (ANN)
Artificial intelligence (AI)
education
Lamini.ai
LangChain
libraries
multimodal deep learning
natural language processing
OOP
significant advancements
technologies
Artificial neural networks (ANNs)
Attention-based language models
attention mechanism
innovative developments
self-attention
transformer architecture
Attention mechanisms
activation functions
cross/self-attention
definition
flash attention
full/sparse attention
layer normalization
data preprocessing
deduplication
DeepNorm
distributed training
LayerNorm
pre-norm/post-norm
layer normalization RMSNorm
positional encodings
RoPE/Alibi
B
Backpropagation through time (BPTT)
Bag-of-words (BOW) model
Bengio, ...
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Publisher Resources

ISBN: 9798868805400