This is a compilation that covers a broad spectrum of what an LLM should be able to handle:

### Linguistic Understanding and Generation:
1. Syntax and Grammar Analysis
2. Paraphrasing
3. Text Completion
4. Spelling and Grammar Correction
5. Translation between languages
6. Text Summarization
7. Generating Text from Keywords
8. Language Detection

### Logical and Mathematical Abilities:
9. Basic Arithmetic and Math Problem Solving
10. Advanced Mathematics (Calculus, Algebra, etc.)
11. Logical Reasoning and Puzzles
12. Data Analysis and Interpretation
13. Pattern Recognition

### Knowledge Domains:
14. General World Knowledge and Trivia
15. History and Historical Events
16. Popular Culture & Entertainment
17. Science (Physics, Chemistry, Biology)
18. Technology and Computing
19. Medicine and Healthcare
20. Law and Legal Systems
21. Geography and Travel
22. Business and Finance
23. Economics
24. Literature and Philosophy
25. Sports
26. Food and Nutrition
27. Art and Art History*

### Creative and Design Thinking:
28. Creativity in Writing (e.g., Poetry, Stories)
29. Art and Music Appreciation
30. Problem Solving and Brainstorming
31. Design Suggestions (e.g., Interior Design, UI/UX)
32. Invention and Innovation Ideas

### Conversational and Social Interaction:
33. Common Sense Reasoning
34. Advice Giving
35. Emotional Intelligence and Empathy
36. Humor and Wit
37. Etiquette and Social Norms
38. Idiomatic Expressions and Slang
39. Cultural Knowledge and Sensitivity

### Specialized Domains:
40. Programming and Code Understanding
41. Cybersecurity Knowledge
42. Astronomy and Space Exploration
43. Environmental Science and Climate Change
44. Political Science and Current Affairs
45. Psychology and Mental Health
46. Education and Learning Theories
47. Automotive Knowledge
48. Religion and Spirituality
49. Agriculture and Farming

### Real-World Practical Skills:
50. How-To Guides and DIY Instructions
51. Cooking Recipes and Techniques
52. Workout and Fitness Routines
53. Personal Finance Management
54. Travel Planning and Logistics
55. Home Maintenance Tips

### Data and Information Management:
56. Information Retrieval
57. Data Extraction and Compilation
58. Indexing and Categorizing
59. Database Querying

### Decision Support and Analysis:
60. Risk Assessment
61. Strategy and Planning
62. Forecasting and Predictions
63. Product and Service Comparisons

### Accessibility:
64. Simplifying Text for Readability
65. Creating Descriptive Audio for Visual Content
66. Transcription and Captioning

When designing a test suite, tasks should be selected strategically from this list to cover a range of different functions and to ensure that the language model is assessed across all relevant capabilities. A comprehensive evaluation will provide insights into the strengths and weaknesses of the model, and ensure that it meets the necessary criteria for its intended application.      I want you to generate a set of standard queries to prompt LLMs with to test a LLM if it gives the expected output or something the resembles the expected output well enough. Call these queries “golden queries”. Background information: For the performance monitoring one way is to use “golden queries”. So for hand picked set of queries we can expect some constant or highly similar result. This can be part of a reliability test for LLM model. That same interface can be used to test agent classes as well.

Now show 5 typical and representative “Golden queries” together with 2 variations of their expected output for each of the cases in the list that I provided you with. Do that in small batches so you can cover all cases in the list.