Large Language Model (LLM) Hands On
Reference Book: Mastering Large Language Models [Google Books Preview] [Github Link]
Code Explanation: Link
Contents
Rule-Based Models
- Phone Number Extraction Using Regular Expressions
- Pattern Matching Using Parts of Speech Tags
- Matching Specific Tokens with Specific Attributes
Statistical Language Models
- Simple Implementation of Bigram Language Model
- Ngrams of Sentence
Data Preprocessing
- Basic Data Cleaning
- Entity Detection
- Anonymization
- Text Pre-processing Example
- Parts-of-Speech (POS) tags
- Dependency Parsing
Neural Networks
- Feedforward Neural Network to Solve XNOR Problem
- LSTM for IMDB movie review sentiment classification
- GRU for IMDB movie review sentiment classification
- Bidirectional RNN for IMDB movie review sentiment classification
- CNN Based Language Model Architecture
Transformer-Based Models
- Self-attention Visualization
- Positional Encoding
Training Large Language Models
- Designing a Tiny LLM for Text Generation
- Designing a Character-level Text Generation Model
- Designing a Word-level Text Generation Model
- Designing a Word-level Text Generation Model with Large Dataset
- Text Generation Model Using T5
Fine-Tuning Large Language Models
- Fine-Tuning Gemma 2 2b-it Model From Hugging Face
Introduction to Ollama
- Inferencing Llama 3.2 Model Using Ollama Python Library
- Inferencing Gemma 2 Model Using Ollama Python Library
- Inferencing Llava Model Using Ollama Python Library
Introduction to Langchain
- Inferencing Llama 3.2 Model Using Langchain and Ollama
- Inferencing Llava Model Using Langchain and Ollama
Retrieval-Augmented Generation (RAG)
- Designing a Retrieval-Augmented Generation (RAG) Pipeline Using LlamaIndex and Ollama
- Designing a Retrieval-Augmented Generation (RAG) Pipeline for Gemma 2 Model
Prompt Engineering
