人工智能
catalog
concept
| abbr | full | description |
|---|---|---|
NLP | Natural Language Processing | 自然语言处理 |
LLMs | Large Language Models | 大语言模型 |
GLM | General Language Model | 通用语言模型 |
LoRA | Low-Rank Adaptation of Large Language Models | 大语言模型的低阶适应 |
BERT | Bidirectional Encoder Representations from Transformers | 基于大规模无监督预训练的双向表示法 |
GPT | Generative Pre-trained Transformer | 生成式预训练语言模型 |
LLaMA | Large Language Model Meta AI | facebook 大语言模型 |
RNN | Recurrent Neural Network | 循环神经网络 |
CNN | Convolutional Neural Network | 卷积神经网络 |
ELMO | Embeddings from Language Models | |
SA | Self-Attention | 自注意力机制 |
F-FNN | Feed-Forward Neural Networks | 前向神经网络 |
RC | Residual Connection | 残差连接 |
MLM | Masked Language Model | 掩码语言模型 |
NSP | Next Sentence Prediction | 下一句预测 |
POS | Part of Speech | 词性 |
TF | Term Frequency | 词频 |
SW | Stop Words | 停用词 |
IDF | Inverse Document Frequency | 逆文档频率 |
FT | Fine Tuning | 微调 |
TensorFlow vs PyTorch vs Jax
- TensorFlow
An Open Source Machine Learning Framework for Everyone
- PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
- Jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Transformer vs RNN vs CNN
Transformer: (Multi-Head Attention) 多头自注意力机制特色 : 自然语言处理
RNN: 循环神经网络特色 : 处理序列数据和时序关系
CNN: 卷积神经网络特色 : 处理网格数据(如: 图像处理)