Education for all.

03/07/2026

20/05/2026

TOP 100 GENERATE AI INTERVIEW QUESTIONS
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Lahai Swarray Education for all.

18/05/2026

Happy Birthday to my beautiful wife ❤️

Even though distance separates us today, my heart is right there beside you. On this special day, I pray that God blesses you with long life, good health, endless peace, happiness, and success in everything you do.

May your smile never fade, may your heart never know sorrow, and may every tear you have ever cried be replaced with joy and laughter. I pray that God protects you wherever you go, strengthens you in difficult moments, and showers you with favor beyond your imagination.

Thank you for being my peace, my happiness, my strength, and the woman who makes my life meaningful. Distance may keep me away physically, but nothing can stop me from loving you deeply every single day.

Today, I celebrate not just your birthday, but the amazing woman you are. May this new age bring open doors, breakthroughs, and countless reasons to smile.

Happy Birthday once again, my queen 👑❤️
I love you endlessly, and I can’t wait to be back home to celebrate you properly.

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15/05/2026

‎Top 50 Generative AI Interview Questions
‎
‎🧠 Generative AI Fundamentals
‎
‎1. What is Generative AI?
‎2. How is Generative AI different from traditional AI?
‎3. What are the main use cases of Generative AI?
‎4. What is the difference between Generative AI and Machine Learning?
‎5. What are foundation models?
‎6. What is a Large Language Model (LLM)?
‎7. How does an LLM generate text?
‎8. What is tokenization in LLMs?
‎9. What is an embedding in AI?
‎10. Why is Generative AI becoming so important now?
‎
‎🧱 Core Model Concepts
‎
‎11. What is a transformer model?
‎12. How does attention work in transformers?
‎13. What is self-attention?
‎14. What is the encoder-decoder architecture?
‎15. What is the difference between encoder-only, decoder-only, and encoder-decoder models?
‎16. What are parameters in an AI model?
‎17. What is pretraining?
‎18. What is fine-tuning?
‎19. What is instruction tuning?
‎20. What is reinforcement learning from human feedback (RLHF)?
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‎💬 Prompt Engineering
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‎21. What is prompt engineering?
‎22. Why is prompt quality important?
‎23. What makes a good prompt?
‎24. What is zero-shot prompting?
‎25. What is few-shot prompting?
‎26. What is chain-of-thought prompting?
‎27. What is role prompting?
‎28. What is prompt chaining?
‎29. How do you reduce ambiguity in prompts?
‎30. What are best practices for prompt design?
‎
‎🔎 Retrieval-Augmented Generation (RAG)
‎
‎31. What is RAG?
‎32. Why is RAG used in Generative AI?
‎33. How does RAG improve LLM responses?
‎34. What is the role of a vector database in RAG?
‎35. What is semantic search?
‎36. What are embeddings used for in RAG?
‎37. What are the main steps in a RAG pipeline?
‎38. How do you evaluate a RAG system?
‎39. What are the challenges in RAG?
‎40. When should you choose RAG over fine-tuning?
‎
‎⚙️ Fine-Tuning and Adaptation
‎
‎41. What is fine-tuning in LLMs?
‎42. How is fine-tuning different from prompting?
‎43. What is parameter-efficient fine-tuning?
‎44. What is LoRA?
‎45. What is transfer learning in GenAI?
‎46. When is fine-tuning necessary?
‎47. What kind of data is used for fine-tuning?
‎48. What are the risks of fine-tuning?
‎49. What is domain adaptation?
‎50. How do you measure fine-tuning success
‎

15/05/2026

‎Top 50 Generative AI Interview Questions
‎
‎🧠 Generative AI Fundamentals
‎
‎1. What is Generative AI?
‎2. How is Generative AI different from traditional AI?
‎3. What are the main use cases of Generative AI?
‎4. What is the difference between Generative AI and Machine Learning?
‎5. What are foundation models?
‎6. What is a Large Language Model (LLM)?
‎7. How does an LLM generate text?
‎8. What is tokenization in LLMs?
‎9. What is an embedding in AI?
‎10. Why is Generative AI becoming so important now?
‎
‎🧱 Core Model Concepts
‎
‎11. What is a transformer model?
‎12. How does attention work in transformers?
‎13. What is self-attention?
‎14. What is the encoder-decoder architecture?
‎15. What is the difference between encoder-only, decoder-only, and encoder-decoder models?
‎16. What are parameters in an AI model?
‎17. What is pretraining?
‎18. What is fine-tuning?
‎19. What is instruction tuning?
‎20. What is reinforcement learning from human feedback (RLHF)?
‎
‎💬 Prompt Engineering
‎
‎21. What is prompt engineering?
‎22. Why is prompt quality important?
‎23. What makes a good prompt?
‎24. What is zero-shot prompting?
‎25. What is few-shot prompting?
‎26. What is chain-of-thought prompting?
‎27. What is role prompting?
‎28. What is prompt chaining?
‎29. How do you reduce ambiguity in prompts?
‎30. What are best practices for prompt design?
‎
‎🔎 Retrieval-Augmented Generation (RAG)
‎
‎31. What is RAG?
‎32. Why is RAG used in Generative AI?
‎33. How does RAG improve LLM responses?
‎34. What is the role of a vector database in RAG?
‎35. What is semantic search?
‎36. What are embeddings used for in RAG?
‎37. What are the main steps in a RAG pipeline?
‎38. How do you evaluate a RAG system?
‎39. What are the challenges in RAG?
‎40. When should you choose RAG over fine-tuning?
‎
‎⚙️ Fine-Tuning and Adaptation
‎
‎41. What is fine-tuning in LLMs?
‎42. How is fine-tuning different from prompting?
‎43. What is parameter-efficient fine-tuning?
‎44. What is LoRA?
‎45. What is transfer learning in GenAI?
‎46. When is fine-tuning necessary?
‎47. What kind of data is used for fine-tuning?
‎48. What are the risks of fine-tuning?
‎49. What is domain adaptation?
‎50. How do you measure fine-tuning success


‎

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13/05/2026

‎Many students are smiling physically… but giving up mentally. 🥲
‎
‎This speech is for every student fighting silent battles nobody sees.
‎Your current struggle is NOT the end of your story.
‎
‎Watch till the end. ❤️
‎
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Check out SAMSON ALR STARS TV’s video.