Core NLP Systems
Gautam AI offers a structured α-level Core NLP Systems program focused on the fundamental building blocks of natural language processing that power search, chatbots, assistants, and LLM-based systems.
What Are Core NLP Systems?
Core NLP Systems form the foundation of how machines read, represent, and reason over human language. This program focuses on classical and neural NLP techniques that are essential before working with transformers and LLMs.
Learners gain a strong understanding of text pipelines, representations, and sequence modeling used in real-world NLP applications.
Core NLP Topics Covered
Text Preprocessing
Tokenization, normalization, stopwords, stemming.
Linguistic Features
POS tagging, syntax, dependency parsing.
Text Representations
Bag-of-Words, TF-IDF, word embeddings.
Sequence Models
RNNs, LSTMs, GRUs for language tasks.
Information Extraction
NER, keyword extraction, classification.
Evaluation Metrics
Precision, recall, F1, language benchmarks.
Who Should Learn Core NLP?
- Students learning Natural Language Processing
- AI engineers building language-based systems
- Learners preparing for LLM & transformer models
- Professionals working with text-heavy data
What Comes After Core NLP?
- Transformer architectures
- Large Language Models (LLMs)
- RAG & knowledge systems
- β-level professional NLP training
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