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| 001. Part 1. Mindset Establishing a positive relationship with LLMs.mp4 |
3.62Мб |
| 002. Chapter 1. Enhancing testing with large language models.mp4 |
23.53Мб |
| 003. Chapter 1. Delivering value with LLMs.mp4 |
54.51Мб |
| 004. Chapter 1. Summary.mp4 |
3.62Мб |
| 005. Chapter 2. Large language models and prompt engineering.mp4 |
26.81Мб |
| 006. Chapter 2. Avoiding the risks of using LLMs.mp4 |
23.32Мб |
| 007. Chapter 2. Improving results with prompt engineering.mp4 |
15.03Мб |
| 008. Chapter 2. Examining the principles of prompt engineering.mp4 |
55.51Мб |
| 009. Chapter 2. Working with various LLMs.mp4 |
36.68Мб |
| 010. Chapter 2. Creating a library of prompts.mp4 |
8.40Мб |
| 011. Chapter 2. Solving problems by using prompts.mp4 |
10.70Мб |
| 012. Chapter 2. Summary.mp4 |
5.76Мб |
| 013. Chapter 3. Artificial intelligence, automation, and testing.mp4 |
33.46Мб |
| 014. Chapter 3. How tools help with testing.mp4 |
14.89Мб |
| 015. Chapter 3. Knowing when to use LLMs in testing.mp4 |
27.51Мб |
| 016. Chapter 3. Summary.mp4 |
4.92Мб |
| 017. Part 2. Technique Task identification and prompt engineering in testing.mp4 |
4.39Мб |
| 018. Chapter 4. AI-assisted testing for developers.mp4 |
13.98Мб |
| 019. Chapter 4. Pairing with LLMs.mp4 |
46.31Мб |
| 020. Chapter 4. Building in quality with AI assistance.mp4 |
8.20Мб |
| 021. Chapter 4. Creating our first TDD loop with LLMs.mp4 |
81.76Мб |
| 022. Chapter 4. Improving documentation and communication with LLMs.mp4 |
22.10Мб |
| 023. Chapter 4. Maintaining a balance with code assistants.mp4 |
4.22Мб |
| 024. Chapter 4. Summary.mp4 |
4.05Мб |
| 025. Chapter 5. Test planning with AI support.mp4 |
17.32Мб |
| 026. Chapter 5. Focused prompts with the use of models.mp4 |
18.18Мб |
| 027. Chapter 5. Combining models and LLMs to assist test planning.mp4 |
80.78Мб |
| 028. Chapter 5. LLMs and test cases.mp4 |
15.92Мб |
| 029. Chapter 5. Summary.mp4 |
4.87Мб |
| 030. Chapter 6. Rapid data creation using AI.mp4 |
20.93Мб |
| 031. Chapter 6. Processing complex test data with LLMs.mp4 |
20.97Мб |
| 032. Chapter 6. Setting up LLMs as test data managers.mp4 |
16.40Мб |
| 033. Chapter 6. Benefiting from generated test data.mp4 |
3.63Мб |
| 034. Chapter 6. Summary.mp4 |
3.96Мб |
| 035. Chapter 7. Accelerating and improving UI automation using AI.mp4 |
42.30Мб |
| 036. Chapter 7. Improving existing UI automation.mp4 |
16.76Мб |
| 037. Chapter 7. Summary.mp4 |
5.16Мб |
| 038. Chapter 8. Assisting exploratory testing with artificial intelligence.mp4 |
38.32Мб |
| 039. Chapter 8. Using LLMs during exploratory testing.mp4 |
40.62Мб |
| 040. Chapter 8. Summarizing testing notes with LLMs.mp4 |
33.65Мб |
| 041. Chapter 8. Summary.mp4 |
5.13Мб |
| 042. Chapter 9. AI agents as testing assistants.mp4 |
23.41Мб |
| 043. Chapter 9. Creating an AI Test Assistant.mp4 |
35.79Мб |
| 044. Chapter 9. Moving forward with AI test assistants.mp4 |
30.28Мб |
| 045. Chapter 9. Summary.mp4 |
5.88Мб |
| 046. Part 3. Context Customizing LLMs for testing contexts.mp4 |
3.65Мб |
| 047. Chapter 10. Introducing customized LLMs.mp4 |
27.75Мб |
| 048. Chapter 10. Embedding context further into prompts and LLMs.mp4 |
40.66Мб |
| 049. Chapter 10. Summary.mp4 |
7.63Мб |
| 050. Chapter 11. Contextualizing prompts with retrieval-augmented generation.mp4 |
20.53Мб |
| 051. Chapter 11. Building a RAG setup.mp4 |
35.54Мб |
| 052. Chapter 11. Enhancing data storage for RAG.mp4 |
31.09Мб |
| 053. Chapter 11. Summary.mp4 |
5.95Мб |
| 054. Chapter 12. Fine-tuning LLMs with business domain knowledge.mp4 |
24.21Мб |
| 055. Chapter 12. Executing a fine-tuning session.mp4 |
118.16Мб |
| 056. Chapter 12. Summary.mp4 |
6.33Мб |
| 057. Appendix A. Setting up and using ChatGPT.mp4 |
11.45Мб |
| 058. Appendix B. Setting up and using GitHub Copilot.mp4 |
9.19Мб |
| 059. Appendix B. Working with Copilot.mp4 |
5.08Мб |
| 060. Appendix C. Exploratory testing notes.mp4 |
12.33Мб |
| Bonus Resources.txt |
70б |
| Get Bonus Downloads Here.url |
180б |