
Code Generation AI
Et Tu Code
Discover the cutting-edge realm of Code Generation AI with this comprehensive audiobook, "Code Generation AI: Exploring the World of Automated Code Synthesis." Delve into the foundations of Automated Code Synthesis, offering a clear understanding of its principles. Uncover the power of Programming Language Agnosticism, enabling code generation across diverse languages.
Learn the intricacies of Code Generation Models, exploring their inner workings and gaining insights into crafting your own models. Navigate the nuances of optimising code quality and performance, essential for seamless integration into your projects. Explore the realm of Machine Learning for Code Generation, with a dedicated focus on the application of Deep Learning in Code Synthesis.
Embark on a journey through various paradigms with dedicated sections on Code Generation for Different Paradigms and GitHub Copilot's revolutionary impact on code writing. Gain insights into popular models and witness the synergy of Human-AI Collaboration in Software Development. The ebook provides practical examples of utilizing OpenAI Code Generation Models across diverse use cases.
Address security concerns with a dedicated section on the Security Implications of AI-Generated Code. Dive into the thriving world of Community and Open Source Contributions, highlighting the Evolution of Code Generation Tools. Explore real-world applications of Code Generation Models in industry and unravel the ethical considerations associated with Code Generation AI.
Confront challenges and envision the future prospects in this ever-evolving field. With a concise yet informative structure, this ebook serves as a comprehensive guide to Code Generation AI, offering a balance of theory and practical application. Stay ahead of the curve and embrace the future of code synthesis.
Duration - 4h 20m.
Author - Et Tu Code.
Narrator - Helen Green.
Published Date - Monday, 01 January 2024.
Copyright - © 2024 Et Tu Code ©.
Location:
United States
Description:
Discover the cutting-edge realm of Code Generation AI with this comprehensive audiobook, "Code Generation AI: Exploring the World of Automated Code Synthesis." Delve into the foundations of Automated Code Synthesis, offering a clear understanding of its principles. Uncover the power of Programming Language Agnosticism, enabling code generation across diverse languages. Learn the intricacies of Code Generation Models, exploring their inner workings and gaining insights into crafting your own models. Navigate the nuances of optimising code quality and performance, essential for seamless integration into your projects. Explore the realm of Machine Learning for Code Generation, with a dedicated focus on the application of Deep Learning in Code Synthesis. Embark on a journey through various paradigms with dedicated sections on Code Generation for Different Paradigms and GitHub Copilot's revolutionary impact on code writing. Gain insights into popular models and witness the synergy of Human-AI Collaboration in Software Development. The ebook provides practical examples of utilizing OpenAI Code Generation Models across diverse use cases. Address security concerns with a dedicated section on the Security Implications of AI-Generated Code. Dive into the thriving world of Community and Open Source Contributions, highlighting the Evolution of Code Generation Tools. Explore real-world applications of Code Generation Models in industry and unravel the ethical considerations associated with Code Generation AI. Confront challenges and envision the future prospects in this ever-evolving field. With a concise yet informative structure, this ebook serves as a comprehensive guide to Code Generation AI, offering a balance of theory and practical application. Stay ahead of the curve and embrace the future of code synthesis. Duration - 4h 20m. Author - Et Tu Code. Narrator - Helen Green. Published Date - Monday, 01 January 2024. Copyright - © 2024 Et Tu Code ©.
Language:
English
Opening Credits
Duración:00:01:56
Preface
Duración:00:06:05
Introduction to code generation ai
Duración:00:04:59
Foundations of automated code synthesis
Duración:00:04:01
Programming language agnosticism
Duración:00:04:44
How code generation models work
Duración:00:04:50
How code generation models work transformer architecture
Duración:00:02:55
How code generation models work training data and pre processing
Duración:00:03:00
How code generation models work fine tuning for code
Duración:00:04:02
How code generation models work natural language understanding
Duración:00:03:25
How code generation models work context aware code suggestions
Duración:00:03:18
How code generation models work handling ambiguity and errors
Duración:00:05:00
Creating your own code generation model
Duración:00:03:59
Creating your own code generation model define project scope and objectives
Duración:00:03:09
Creating your own code generation model collect and prepare training data
Duración:00:05:22
Creating your own code generation model choose a deep learning framework
Duración:00:03:33
Creating your own code generation model design the model architecture
Duración:00:04:42
Creating your own code generation model implement the model
Duración:00:04:26
Creating your own code generation model train the model
Duración:00:05:31
Creating your own code generation model test and validate the model
Duración:00:04:10
Creating your own code generation model integrate the model into your workflow
Duración:00:05:31
Optimizing code quality and performance
Duración:00:03:50
Machine learning for code generation
Duración:00:05:37
Deep learning in code synthesis
Duración:00:05:23
Code generation for different paradigms
Duración:00:03:20
Github copilot: revolutionizing code writing
Duración:00:03:43
Github copilot: revolutionizing code writing autocomplete suggestions
Duración:00:02:26
Github copilot: revolutionizing code writing context aware code completions
Duración:00:03:18
Github copilot: revolutionizing code writing multilingual support
Duración:00:02:53
Github copilot: revolutionizing code writing code comment generation
Duración:00:04:48
Github copilot: revolutionizing code writing custom code snippet creation
Duración:00:03:21
Github copilot: revolutionizing code writing code refactoring assistance
Duración:00:02:22
Github copilot: revolutionizing code writing intelligent error handling
Duración:00:02:15
Github copilot: revolutionizing code writing integration with ides and editors
Duración:00:04:06
Popular code generation models
Duración:00:03:43
Popular code generation models openai codex
Duración:00:03:33
Popular code generation models hugging face transformers
Duración:00:04:10
Popular code generation models codebert
Duración:00:03:00
Popular code generation models tabnine
Duración:00:03:14
Popular code generation models kite copilot
Duración:00:03:12
Human ai collaboration in software development
Duración:00:04:03
Examples of using openai code generation model for different use cases
Duración:00:04:20
Examples of using openai code generation model for different use cases web development
Duración:00:06:40
Examples of using openai code generation model for different use cases data analysis and visualization
Duración:00:04:23
Examples of using openai code generation model for different use cases machine learning and deep learning
Duración:00:06:55
Examples of using openai code generation model for different use cases automation scripts
Duración:00:04:34
Examples of using openai code generation model for different use cases game development
Duración:00:03:24
Examples of using openai code generation model for different use cases mobile app development
Duración:00:07:20
Security implications of ai generated code
Duración:00:05:32
Community and open source contributions
Duración:00:05:05
The evolution of code generation tools
Duración:00:03:56
Popular applications of code generation models in industry
Duración:00:04:27
Popular applications of code generation models in industry automated code completion
Duración:00:02:45
Popular applications of code generation models in industry refactoring assistance
Duración:00:03:00
Popular applications of code generation models in industry code translation across languages
Duración:00:04:25
Popular applications of code generation models in industry documentation generation
Duración:00:03:24
Popular applications of code generation models in industry code synthesis for domain specific languages
Duración:00:05:02
Popular applications of code generation models in industry bug fixing and error resolution
Duración:00:02:52
Ethical considerations in code generation ai
Duración:00:03:09
Challenges and future prospects
Duración:00:05:01
Glossary
Duración:00:03:58
Bibliography
Duración:00:07:14
Ending Credits
Duración:00:01:59