Duration
Technologies Behind ChatGPT, GPT4 & Large Language Models
2 days
What you'll learn
- Comprehend the historical evolution of NLP and its transition towards transformer-based models
- Apply fundamental concepts of transfer learning and its significance in training and fine-tuning transformer models for diverse NLP tasks
- Utilize PyTorch to effectively implement, customize, and optimize state-of-the-art transformer models
- Mastering essential NLP tasks like Masked Language Modeling and Next Sentence Prediction
- Develop a solid foundation in the practical applications of ChatGPT and other LLMs, along with the strategies and best practices
- Identify innovative software development use cases for ChatGPT that can significantly improve efficiency
DAY 1
9:00am - 10:30am
Getting Started with LLMs
- What is LLMs? Why LLMs (such as GPT, Bard) is so special?
- Exploring the Evolution of NLP
- The Power of Attention Mechanisms
- Unraveling Encoder-Decoder Architectures
- Demystifying Transformers
- Learn and Understand Transformers
- Mastering Scaled Dot Product Attention
- Delving into Multi-Headed
- Unlocking Transfer Learning Potential
- PyTorch Essentials for Beginners
- Streamlining Transformer Fine-Tuning with PyTorch
- Discovering BERT: A New NLP Paradigm
- Navigating Wordpiece Tokenization
- BERT's Versatile Embeddings
10:30am - 10:45am Morning Break
10:45am - 12:30pm
- Mastering the Masked Language Modeling Task
- Excelling at the Next Sentence Prediction Task
- Harnessing BERT for NLP Task Domination
- BERT Variants: Introduction
- BERT Variants: Advanced Concepts
- Sequence Classification with BERT: Basics
- Sequence Classification with BERT: Techniques
- Sequence Classification with BERT: Applications
- Token Classification using BERT: Fundamentals
- Token Classification using BERT: Advanced Strategies
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
- Question Answering with BERT: Foundations
- Question Answering with BERT: In-Depth Analysis
- Exploring the GPT Architecture: Foundations
- Exploring the GPT Architecture: Innovations
- Unveiling Masked Multi-Head Attention Mechanisms
- Advanced Techniques in Masked Multi-Head Attention
- Practical Applications of Masked Multi-Head Attention
- GPT Pre-Training Strategies and Techniques
- Optimizing GPT Pre-Training for Performance
- Mastering Few-Shot Learning with GPT
- Advanced Approaches in Few-Shot Learning
- Exploring Stylistic Completion with GPT: An Introduction
- Advanced Techniques in Stylistic Completion with GPT
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
- Leveraging GPT for Efficient Code Dictation: A Comprehensive Guide
- Mastering GPT for Code Dictation: Deep Dive
- GPT for Code Dictation: Advanced Implementation and Strategies
- Exploring Siamese BERT Networks for Semantic Analysis
- Deep Dive into Siamese BERT Networks for Semantic Analysis
- Advanced Siamese BERT Networks for Semantic Interpretation
- Siamese BERT Networks: Semantic Interpretation Case Studies
- Multitasking with GPT: An Introductory Approach
- Advancing Multi-Task Performance in GPT
- Practical Applications of Multitasking with GPT
- Introduction to T5's Encoder-Decoder Architecture
- Principles and Techniques of Pre-training the T5 Model
- Understanding Cross-Attention Mechanisms in T5
DAY 2
9:00am - 10:30am
Getting started with Reinforcement Learning
- Exploring the Relationship Between RLHF and ChatGPT
- Fundamentals of Reinforcement Learning
- Mastering OpenAI Software: A Comprehensive Guide
- Reinforcement Learning: A Comprehensive Introduction
10:30am - 10:45am Morning Break
10:45am - 12:30pm
- Advanced Concepts in Reinforcement Learning
- Exploring and Comprehending OpenAI Frameworks
- Delving into OpenAI Environments: A Practical Approach
- Markov Decision Processes: Theory and Applications
- Solving Reinforcement Learning Challenges: Techniques and Strategies
12:30pm - 1:30pm Lunch Break
1:30pm - 3:30pm
Solving Reinforcement Learning Problems using OpenAI/ChatGPT
- OpenAI/ChatGPT - Solving Reinforcement Learning Problems - 1
- OpenAI/ChatGPT - Solving Reinforcement Learning Problems – 2
3:30pm - 3:45pm Afternoon Break
3:45pm - 5:00pm
Deep Reinforcement Learning with OpenAI & ChatGPT
Introduction
- Solving Two Deep Reinforcement Learning Problems
Programme scope, delivery arrangements and suitability are confirmed during enquiry.