6
Text Classification
Exploring Large Language Models With R
Preface
1
Large Language Models
2
Local Large Language Models
3
Text Generation
4
Vision
5
Embedding Generation
6
Text Classification
7
Retrieval Augmented Generation
8
Fine-tuning
9
Miscellaneous Techniques
10
The Final Deep-dive
Bibliography
Table of contents
6.1
Deep-dive: How it works
6
Text Classification
From LLMs – using rollama, mall, zero-multiple shots
From embeddings – embedding + class -> NN -> predict class
6.1
Deep-dive: How it works
In progress …
5
Embedding Generation
7
Retrieval Augmented Generation