NLP with Large Language Models (LLM) Fundamentals

Topic 1 Fundamental of NLP

• Applications and use cases of NLP
• Python NLP Packages and Hugging Face Transformer
• Overview of large language models (LLM)
• Overview of Transformer architecture 
• Matrix calculus of self-attention mechanism
• Comparison of large language models - BERT, RoBERTa, T5, BART, GPT, and ChatGPT
• Key Features of BERT - Fine Tuning and Self-Supervised Learning

Topic 2 Word Embedding and Language Models

• Tokenization techniques
• Word embedding techniques
• Similarity measures
• Language models
• Introduction to Hugging Face Transformer API

Topic 3 Training NLP Models

• BERT and text classification
• Training NLP models

Topic 4 NLP Strategies

• Main NLP tasks with Hugging Face Transformer
• Prompt Engineering with OpenAI API
• Build your first Bot Using OpenAI API

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Knowledge and Skills

• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

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• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

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• NLP (Natural Language Processing) Engineer
• Machine Learning Engineer
• AI Application Developer
• Chatbot Developer
• AI Research Scientist
• AI Product Manager
• Data Scientist specializing in text data
• Conversational AI Designer
• AI Integration Specialist
• Language Model Trainer
• Content Personalization Engineer
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• Cognitive Computing Specialist
• AI Technical Consultant
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Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Alfred Yap Swee Leong: Alfred Yap is an ACLP certified trainer with strong financial and shopper marketing domain background and extensive experience in information technology. In addition, he is both an IBM certified Cloud Computing Practitioner and an IBM Enterprise Design Thinking Practitioner.
Alfred Yap has spent decades teaching adult learners since the 90s. Kickstarting his teaching career as a trainer for Oracle University. Thereafter, he has had vast experience conducting ICT related training to various companies in the Consulting, Media, and Training industry.
Alfred Yap earned his undergraduate degree from USF, America and master degree from NTU, Singapore majoring in Knowledge Management. His current interests include Cyber Security, Cloud computing and Blockchain.