Gen AI, LLM & Prompt Engineering
Et Tu Code
Gen AI, LLM & Prompt Engineering: A Comprehensive Guide
Unlock the potential of Generative AI, Large Language Models, and Prompt Engineering with this definitive guide.
This book delves into the fascinating world of generative AI, a powerful technology capable of creating new and original content, from text and images to music and code.
Part 1: Generative AI Demystified
Explore the fundamentals of generative AI:Navigate the research landscape:Discover real-world applications:Part 2: Mastering Large Language Models (LLMs)
Demystify the inner workings of LLMs:Become an LLM developer:Explore popular LLMs:Part 3: The Art of Prompt Engineering
Unleash the power of prompts:Fine-tune prompts for different models:Explore advanced techniques and future directions:
Duration - 7h 8m.
Author - Et Tu Code.
Narrator - Helen Green.
Published Date - Thursday, 11 January 2024.
Copyright - © 2024 Et Tu Code ©.
Location:
United States
Description:
Gen AI, LLM & Prompt Engineering: A Comprehensive Guide Unlock the potential of Generative AI, Large Language Models, and Prompt Engineering with this definitive guide. This book delves into the fascinating world of generative AI, a powerful technology capable of creating new and original content, from text and images to music and code. Part 1: Generative AI Demystified Explore the fundamentals of generative AI:Navigate the research landscape:Discover real-world applications:Part 2: Mastering Large Language Models (LLMs) Demystify the inner workings of LLMs:Become an LLM developer:Explore popular LLMs:Part 3: The Art of Prompt Engineering Unleash the power of prompts:Fine-tune prompts for different models:Explore advanced techniques and future directions: Duration - 7h 8m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Thursday, 11 January 2024. Copyright - © 2024 Et Tu Code ©.
Language:
English
Opening Credits
Duration:00:02:04
Preface
Duration:00:05:45
Part 1 Gen AI
Duration:00:00:15
Introduction to generative ai
Duration:00:05:29
History of generative ai
Duration:00:04:25
Types of generative models
Duration:00:04:06
Types of generative models variational autoencoders (vaes)
Duration:00:04:43
Types of generative models generative adversarial networks (gans)
Duration:00:06:20
Types of generative models other generative models
Duration:00:05:55
Training and fine tuning generative models
Duration:00:05:33
Detailed math behind generative ai
Duration:00:05:23
Detailed math behind generative ai probability distributions
Duration:00:06:13
Detailed math behind generative ai linear algebra in generative models
Duration:00:04:37
Detailed math behind generative ai optimization techniques
Duration:00:06:28
Detailed math behind generative ai advanced mathematics in gans
Duration:00:05:59
Research papers behind generative ai
Duration:00:05:17
Research papers behind generative ai gans: generative adversarial networks
Duration:00:04:58
Research papers behind generative ai vaes: variational autoencoders
Duration:00:05:41
Research papers behind generative ai recent breakthroughs
Duration:00:06:11
Generative ai in industry
Duration:00:04:27
Generative ai tools and frameworks
Duration:00:05:10
Generative ai tools and frameworks tensorflow for generative ai
Duration:00:05:34
Generative ai tools and frameworks pytorch for generative ai
Duration:00:09:24
Generative ai tools and frameworks other tools and libraries
Duration:00:04:15
Building a generative ai project
Duration:00:03:59
Applications of generative ai
Duration:00:04:31
Generative ai in art and creativity
Duration:00:04:20
Generative ai and human collaboration
Duration:00:04:43
Challenges and ethical considerations
Duration:00:04:27
Future trends in generative ai
Duration:00:05:58
Conclusion
Duration:00:03:47
Part 2 LLM
Duration:00:00:15
Introduction to language model development
Duration:00:05:54
Basics of natural language processing
Duration:00:03:26
Choosing the right framework
Duration:00:05:04
Collecting and preprocessing data
Duration:00:04:50
Model architecture design
Duration:00:05:29
Training and fine tuning
Duration:00:05:57
Evaluation metrics and validation
Duration:00:05:11
Deploying your language model
Duration:00:04:42
Fine tuning for specific use cases
Duration:00:06:50
Handling ethical and bias considerations
Duration:00:04:33
Optimizing performance and efficiency
Duration:00:04:56
Popular large language models
Duration:00:06:02
Popular large language models gpt 3 (generative pre trained transformer 3)
Duration:00:04:41
Popular large language models bert (bidirectional encoder representations from transformers)
Duration:00:04:03
Popular large language models t5 (text to text transfer transformer)
Duration:00:05:05
Popular large language models xlnet
Duration:00:04:05
Popular large language models roberta (robustly optimized bert approach)
Duration:00:05:21
Popular large language models llama 2
Duration:00:04:28
Popular large language models google's gemini
Duration:00:05:24
Integrating language model with applications
Duration:00:04:44
Scaling and distributed training
Duration:00:04:22
Continuous improvement and maintenance
Duration:00:03:21
Interpretable ai and explainability
Duration:00:06:26
Challenges and future trends
Duration:00:04:30
Case studies and project examples
Duration:00:04:56
Community and collaboration
Duration:00:04:21
Part 3 Prompt Engineering
Duration:00:00:15
Introduction to prompt engineering
Duration:00:05:03
The psychology of prompts
Duration:00:04:21
The psychology of prompts cognitive science principles
Duration:00:07:37
The psychology of prompts language nuances
Duration:00:04:23
Building effective prompts
Duration:00:05:25
Adapting prompts for different models
Duration:00:05:02
Evaluating prompt performance
Duration:00:05:14
Advanced techniques in prompt engineering
Duration:00:07:20
Advanced techniques in prompt engineering transfer learning with prompts
Duration:00:05:50
Advanced techniques in prompt engineering multimodal prompt engineering
Duration:00:01:08
Mathematics underpinning efficient prompt engineering
Duration:00:05:33
Mathematics underpinning efficient prompt engineering linear algebra in prompt design
Duration:00:05:03
Mathematics underpinning efficient prompt engineering probability and statistical modeling
Duration:00:04:21
Mathematics underpinning efficient prompt engineering optimization algorithms for prompt tuning
Duration:00:05:08
Mathematics underpinning efficient prompt engineering information theory in prompt compression
Duration:00:05:32
Popular chatgpt prompts
Duration:00:03:24
Popular chatgpt prompts creative writing
Duration:00:04:59
Popular chatgpt prompts programming assistance
Duration:00:04:07
Popular chatgpt prompts educational queries
Duration:00:05:00
Popular chatgpt prompts technical documentation generation
Duration:00:05:02
The future of prompt engineering
Duration:00:05:06
Interactive prompt design
Duration:00:05:11
Challenges and solutions in prompt engineering
Duration:00:05:24
Collaborative prompt design
Duration:00:05:46
Ethical considerations
Duration:00:03:54
Practical applications and case studies
Duration:00:04:24
Glossary
Duration:00:07:16
Bibliography
Duration:00:04:57
Ending Credits
Duration:00:01:59