AI Compass
Compass

EDITORIAL

Changes

What has recently been written, revised or approved.

  1. Choosing a modelUPDATEDOperations
  2. Choosing toolsUPDATEDOperations
  3. Evaluating new toolsUPDATEDOperations
  4. Local and open modelsUPDATEDOperations
  5. MetricsUPDATEDOperations
  6. PilotingUPDATEDOperations
  7. Prompt libraryUPDATEDOperations
  8. Reporting problemsUPDATEDOperations
  9. RolloutUPDATEDOperations
  10. Training and enablementUPDATEDOperations
  11. TroubleshootingUPDATEDOperations
  12. What AI costsUPDATEDOperations
  13. AI literacyUPDATEDGovernance
  14. Deadlines and transitional rulesUPDATEDGovernance
  15. Duties by roleUPDATEDGovernance
  16. The EU AI Act in outlineUPDATEDGovernance
  17. Risk classesUPDATEDGovernance
  18. Approval processUPDATEDGovernance
  19. Copyright and AIUPDATEDGovernance
  20. Processing on behalfUPDATEDGovernance
  21. Data residencyUPDATEDGovernance
  22. Data protection basicsUPDATEDGovernance
  23. Legal basesUPDATEDGovernance
  24. LoggingUPDATEDGovernance
  25. Preparing for auditUPDATEDGovernance
  26. AI at homeNEWPractice
  27. Common pitfallsUPDATEDPractice
  28. Getting started safelyUPDATEDPractice
  29. How we got hereNEWPractice
  30. Images, audio and videoUPDATEDPractice
  31. AgricultureNEWPractice
  32. Banking and insuranceUPDATEDPractice
  33. Construction and real estateNEWPractice
  34. EducationNEWPractice
  35. Energy and utilitiesNEWPractice
  36. Healthcare and nursingNEWPractice
  37. Tourism and hospitalityNEWPractice
  38. Industry and manufacturingUPDATEDPractice
  39. Media and publishingNEWPractice
  40. Public administrationUPDATEDPractice
  41. Retail and e-commerceUPDATEDPractice
  42. Transport and mobilityNEWPractice
  43. IntroductionUPDATEDPractice
  44. Learning and researchUPDATEDPractice
  45. Planning and organisingNEWPractice
  46. Prompting basicsUPDATEDPractice
  47. Prompt patternsUPDATEDPractice
  48. Prompt templatesUPDATEDPractice
  49. Terms and model typesUPDATEDPractice
  50. What AI can do todayUPDATEDPractice
  51. What artificial intelligence isUPDATEDPractice
  52. Why a prompt failsNEWPractice
  53. Administration and support rolesNEWPractice
  54. Customer serviceNEWPractice
  55. Finance and accountingUPDATEDPractice
  56. IT and supportUPDATEDPractice
  57. Law firms and legal adviceNEWPractice
  58. Legal and complianceUPDATEDPractice
  59. Logistics and warehousingNEWPractice
  60. MarketingUPDATEDPractice
  61. People and HRUPDATEDPractice
  62. Procurement and purchasingNEWPractice
  63. Production and manufacturingNEWPractice
  64. Project managementNEWPractice
  65. Quality assuranceNEWPractice
  66. Research and developmentNEWPractice
  67. SalesUPDATEDPractice
  68. Writing and draftingUPDATEDPractice
  69. Activation functionsNEWEngineering
  70. Agents in depthNEWEngineering
  71. Annotation and labellingNEWEngineering
  72. AttentionNEWEngineering
  73. Audio as a signalNEWEngineering
  74. BackpropagationNEWEngineering
  75. Bias in dataNEWEngineering
  76. Building datasetsNEWEngineering
  77. Derivatives and gradientsNEWEngineering
  78. ClusteringNEWEngineering
  79. How AI understands imagesNEWEngineering
  80. Context windows in depthNEWEngineering
AI OPERATING PLATFORM

You don't have to know all of this yourself.

This wiki explains what needs doing. The LumeSec platform does it: it brings together what your AI systems are doing, holds them inside the agreed limits, and records the evidence as it goes.

See the platform
  • CorrelateOne picture of what your systems are actually doing.
  • ContainThe agreed limits hold at runtime, not just on paper.
  • AttestEvidence accrues in operation, not the week before an audit.
Changes