| Tool | Purpose | |------|---------| | | Industrial-strength NLP in Python (fast, production-ready) | | NLTK | Academic/educational – wide algorithms, slower | | Hugging Face Transformers | Access thousands of pretrained models (BERT, GPT, Llama) | | Stanford CoreNLP | Java-based, deep linguistic analysis | | Gensim | Topic modeling, word embeddings | | LangChain | Build applications around LLMs (chains, agents, RAG) | | Ollama / vLLM | Run open-source LLMs locally (Llama 3, Mistral, etc.) |
Would you like a deeper dive into any specific subtopic, such as training your own small BERT model or implementing RAG? natural language processing