[NLP] LLaMa 2
Brief Introduction of LLaMa 2 Model
Categories
NLP
[NLP] Parameter Efficient Fine-Tuning Methods
Brief Introduction of Low-Rank Adaptation (LoRA) / Infused Adapter by Inhibiting and Amplifying Inner Activations (IA3)
[NLP] LLaMa
LLaMa and Basic Introduction
[NLP] BERT
Brief Introduction of BERT
[NLP] GPT1, 2, and 3
Brief Introduction of GPT 1, 2, and 3
[NLP] Attention is all you need
Part. 2, Transformer
[NLP] Attention is all you need
Part. 1, Attention Mechanism
[NLP] Seq2Seq
Sequence to Sequence - Brief Summary
[NLP] LSTM
Brief Introduction of Long Short-Term Memory Model
[NLP] RNN
Brief Introduction of Recurrent Neural Network Model
[NLP] Intro
Brief History of Natural Language Processing and What Will be Presented Here
Computer Vision
[Computer Vision] Faster R-CNN
Brief Introduction of Faster R-CNN
[Computer Vision] You Only Look Once (YOLO)
Brief Introduction of YOLO
[Computer Vision] Visual Transformer
Manipulation of Transformer in Computer Vision
MLP Mixer - MLP in Computer Vision
How a Simple MLP is Applied in Computer Vision
[Computer Vision] CNN
Brief Introduction of Convolutional Neural Network Model
[Computer Vision] Intro
Brief History of Natural Language Processing and What Will be Presented Here
RNN
[NLP] RNN
Brief Introduction of Recurrent Neural Network Model
LSTM
[NLP] LSTM
Brief Introduction of Long Short-Term Memory Model
CNN
[Computer Vision] CNN
Brief Introduction of Convolutional Neural Network Model
Seq2Seq
[NLP] Seq2Seq
Sequence to Sequence - Brief Summary