<aside> 📕

AI Engineers are specialists in building and deploying artificial intelligence models and systems. They work at the intersection of software development, machine learning, and data engineering. Depending on the organization, this role may also be referred to as Machine Learning Engineer, Deep Learning Specialist, or AI Specialist.

</aside>

NLP Fundamentals

(DataCamp)

1. Text Preprocessing: Tokenization, stemming, lemmatization, n-grams, word embeddings (NLTK, SpaCy).
2. Classical Models: TF-IDF, Bag of Words, Word2Vec, GloVe.
3. Core NLP Tasks: Sentiment analysis, NER, text classification.

Moving to Advanced NLP

Deep Learning for NLP:

(Deep Learning AI)

1. RNNs, LSTMs, GRUs (sequence modeling)
2. Attention mechanisms

Transformers:

(Towards Data Science)

1. BERT, GPT, and T5 architectures
2. Hugging Face library
3. Practical Tasks: Summarization, translation, question answering

Generative AI (GenAI)

Concepts:

(GenerativeAI.net)

1. Generative Models: GANs, VAEs