/llm-hands-on

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.

Primary LanguageJupyter Notebook

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