Understanding Markov Models Through a Simple NLP Example ☺️☺️ While revisiting the fundamentals of Natural Language Processing, I explored how Markov models can be built from something as simple as a ...

I thought NLP was just about text… I was wrong. When I started exploring NLP, I assumed it was simple: → Take text → Train a model → Get predictions But the moment I worked on a real NLP task, I ...

X_main, X_test, y_main, y_test = train_test_split(features, target, test_size=0.2, random_state=1) X_train, X_val, y_train, y_val = train_test_split(X_main, y_main ...

Language is a uniquely human trait at the core of human interactions. The language people use often reflects their personality, intentions and state of mind. With the integration of the Internet and ...

Natural Language Processing (NLP) technologies are critical for enterprises that handle a lot of unstructured text. Sentiment analysis, chatbots, text extraction, text summarization, and speech ...

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Developers and data scientists use generative AI and large language models (LLMs) to query volumes of documents and unstructured data. Open source LLMs, including Dolly 2.0, EleutherAI Pythia, Meta AI ...