Data Science Interview-এর 100+ Core Concepts › Chapter 12

Chapter 12: Large Language Models

  1. 113 Tokenization এবং Tokens 1 min
  2. 114 Embeddings 1 min
  3. 115 Transformer Architecture—সহজ ধারণা 1 min
  4. 116 Self-Attention 1 min
  5. 117 Pretraining এবং Next-Token Prediction 1 min
  6. 118 Fine-Tuning vs Prompting 1 min
  7. 119 Instruction Tuning 1 min
  8. 120 Context Window 1 min
  9. 121 Temperature, Top-k এবং Top-p 1 min
  10. 122 Hallucination 1 min
  11. 123 Retrieval-Augmented Generation (RAG) 1 min
  12. 124 Vector Search এবং Similarity 1 min
  13. 125 Chunking এবং Retrieval Quality 1 min
  14. 126 Prompt Engineering 1 min
  15. 127 LLM Evaluation 1 min
  16. 128 LLM-এর Latency, Cost এবং Scalability 1 min
  17. 129 Quantization—Basic ধারণা 1 min
  18. 130 RLHF এবং Human Feedback 1 min
  19. 131 AI Agent এবং Tool Calling 1 min
  20. 132 LLM-এর নিরাপত্তা, Bias এবং Limitations 1 min