Natural Language Processing

This workshop introduces Natural Language Processing (NLP), the technology that enables machines to understand, interpret, and generate human language. NLP is used in various AI applications such as virtual assistants, chatbots, sentiment analysis, topic modeling, and virtual assistant agents. Participants will learn fundamental NLP techniques, explore models for text processing, embeddings, topic modeling, transformers, and LLMs, and implement them all in a no-code AI Agent. This workshop is designed for data scientists, machine learning engineers, AI practitioners, and software developers desiring to enlarge their knowledge in NLP.

• Understand the data preparation process.
• Learn how to vectorize data.
• Explore the evolution of NLP models.
• Create word embedding and text generation models.
• Conduct sentiment analysis and topic classification.
• Gain knowledge of probabilistic Markov Models.
• Understand multinomial and Gaussian generative models.
• Learn the process of translating and summarizing text.
• Understand the Transformer architecture behind ChatGPT.
• Using interactive LLM models.

Day 1:

- Text Preparation.

- Word Vectorization: BoW - TF – IDF.

Day 2: 

- Word Embeddings / Word2Vec and Glove / Topis Modeling

Day 3:

- RNN, LSTM, Transformers and LLMs

Day 4:

- Designing an AI Agent workshop

Day 5:

- Designing an AI Agent workshop

- Tokenizing sentences and Stop Word

- Stemming and Lemmatizing words

- Parts of Speech / Name Entity   Recognition

- Bag of Words and TF-IDF

- Word - Term matrix

- Multinomial Naive Bayes model

- Latent Dirichlet Allocation (LDA) model

- word2vec: CBOW and SKIPGRAM methods

- Transformers and Large Language Models

- AI Agent design project with VoiceFlow