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A complete guide to NLP and ML for text processing, covering rule-based models, RNNs, CNNs, Transformers, entity detection, sentiment analysis, LLM fine-tuning, RAG, and prompt engineering with tools like Langchain and Ollama.

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Large Language Model (LLM) Hands On

Reference Book: Mastering Large Language Models [Google Books Preview] [Github Link]
Code Explanation: Link

Contents

Rule-Based Models

Statistical Language Models

Data Preprocessing

Neural Networks

Transformer-Based Models

Training Large Language Models

Fine-Tuning Large Language Models

Introduction to Ollama

Introduction to Langchain

Retrieval-Augmented Generation (RAG)

Prompt Engineering

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A complete guide to NLP and ML for text processing, covering rule-based models, RNNs, CNNs, Transformers, entity detection, sentiment analysis, LLM fine-tuning, RAG, and prompt engineering with tools like Langchain and Ollama.

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