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Opening Credits
1/1/2025
Preface
1/1/2025
Part 1 Gen AI
1/1/2025
Introduction to generative ai
1/1/2025
History of generative ai
1/1/2025
Types of generative models
1/1/2025
Types of generative models variational autoencoders (vaes)
1/1/2025
Types of generative models generative adversarial networks (gans)
1/1/2025
Types of generative models other generative models
1/1/2025
Training and fine tuning generative models
1/1/2025
Detailed math behind generative ai
1/1/2025
Detailed math behind generative ai probability distributions
1/1/2025
Detailed math behind generative ai linear algebra in generative models
1/1/2025
Detailed math behind generative ai optimization techniques
1/1/2025
Detailed math behind generative ai advanced mathematics in gans
1/1/2025
Research papers behind generative ai
1/1/2025
Research papers behind generative ai gans: generative adversarial networks
1/1/2025
Research papers behind generative ai vaes: variational autoencoders
1/1/2025
Research papers behind generative ai recent breakthroughs
1/1/2025
Generative ai in industry
1/1/2025
Generative ai tools and frameworks
1/1/2025
Generative ai tools and frameworks tensorflow for generative ai
1/1/2025
Generative ai tools and frameworks pytorch for generative ai
1/1/2025
Generative ai tools and frameworks other tools and libraries
1/1/2025
Building a generative ai project
1/1/2025
Applications of generative ai
1/1/2025
Generative ai in art and creativity
1/1/2025
Generative ai and human collaboration
1/1/2025
Challenges and ethical considerations
1/1/2025
Future trends in generative ai
1/1/2025
Conclusion
1/1/2025
Part 2 LLM
1/1/2025
Introduction to language model development
1/1/2025
Basics of natural language processing
1/1/2025
Choosing the right framework
1/1/2025
Collecting and preprocessing data
1/1/2025
Model architecture design
1/1/2025
Training and fine tuning
1/1/2025
Evaluation metrics and validation
1/1/2025
Deploying your language model
1/1/2025
Fine tuning for specific use cases
1/1/2025
Handling ethical and bias considerations
1/1/2025
Optimizing performance and efficiency
1/1/2025
Popular large language models
1/1/2025
Popular large language models gpt 3 (generative pre trained transformer 3)
1/1/2025
Popular large language models bert (bidirectional encoder representations from transformers)
1/1/2025
Popular large language models t5 (text to text transfer transformer)
1/1/2025
Popular large language models xlnet
1/1/2025
Popular large language models roberta (robustly optimized bert approach)
1/1/2025
Popular large language models llama 2
1/1/2025
Popular large language models google's gemini
1/1/2025
Integrating language model with applications
1/1/2025
Scaling and distributed training
1/1/2025
Continuous improvement and maintenance
1/1/2025
Interpretable ai and explainability
1/1/2025
Challenges and future trends
1/1/2025
Case studies and project examples
1/1/2025
Community and collaboration
1/1/2025
Part 3 Prompt Engineering
1/1/2025
Introduction to prompt engineering
1/1/2025
The psychology of prompts
1/1/2025
The psychology of prompts cognitive science principles
1/1/2025
The psychology of prompts language nuances
1/1/2025
Building effective prompts
1/1/2025
Adapting prompts for different models
1/1/2025
Evaluating prompt performance
1/1/2025
Advanced techniques in prompt engineering
1/1/2025
Advanced techniques in prompt engineering transfer learning with prompts
1/1/2025
Advanced techniques in prompt engineering multimodal prompt engineering
1/1/2025
Mathematics underpinning efficient prompt engineering
1/1/2025
Mathematics underpinning efficient prompt engineering linear algebra in prompt design
1/1/2025
Mathematics underpinning efficient prompt engineering probability and statistical modeling
1/1/2025
Mathematics underpinning efficient prompt engineering optimization algorithms for prompt tuning
1/1/2025
Mathematics underpinning efficient prompt engineering information theory in prompt compression
1/1/2025
Popular chatgpt prompts
1/1/2025
Popular chatgpt prompts creative writing
1/1/2025
Popular chatgpt prompts programming assistance
1/1/2025
Popular chatgpt prompts educational queries
1/1/2025
Popular chatgpt prompts technical documentation generation
1/1/2025
The future of prompt engineering
1/1/2025
Interactive prompt design
1/1/2025
Challenges and solutions in prompt engineering
1/1/2025
Collaborative prompt design
1/1/2025
Ethical considerations
1/1/2025
Practical applications and case studies
1/1/2025
Glossary
1/1/2025
Bibliography
1/1/2025
Ending Credits
1/1/2025