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  1. .gitattributes +43 -0
  2. Adam.pdf +3 -0
  3. Adapters.pdf +3 -0
  4. AlexNet.pdf +3 -0
  5. Attention_is_all_you_need.pdf +3 -0
  6. Batch Norm.pdf +3 -0
  7. CoCondenser.pdf +3 -0
  8. ColBERT.pdf +3 -0
  9. Comprehensive RAG Survey (2024).pdf +3 -0
  10. Contriever.pdf +3 -0
  11. DPO.pdf +3 -0
  12. DPR.pdf +3 -0
  13. Dropout.pdf +3 -0
  14. E5 (Embeddings from Instructions).pdf +3 -0
  15. Few_shot_learners.pdf +3 -0
  16. GPT-4.pdf +3 -0
  17. Generative_Pre_Train.pdf +3 -0
  18. Inception.pdf +3 -0
  19. InstructGPT (RLHF).pdf +3 -0
  20. LORA.pdf +3 -0
  21. LSTM.pdf +3 -0
  22. Layer Normalization.pdf +3 -0
  23. Longformer.pdf +3 -0
  24. Lookahead Optimizer.pdf +3 -0
  25. MonoT5.pdf +3 -0
  26. QLORA.pdf +3 -0
  27. RAG.pdf +3 -0
  28. RAdam.pdf +3 -0
  29. REALM.pdf +3 -0
  30. RETRO.pdf +3 -0
  31. RLHF.pdf +3 -0
  32. ResNet.pdf +3 -0
  33. Retrieval-Augmented Generation Survey (2024).pdf +3 -0
  34. Sentence-BERT.pdf +3 -0
  35. THE LOTTERY TICKET HYPOTHESIS.pdf +3 -0
  36. Transformers_for_long_sequences.pdf +3 -0
  37. Understanding Deep Learning Requires Rethinking Generalization.pdf +3 -0
  38. VGG.pdf +3 -0
  39. beays_stats.pdf +3 -0
  40. convex_optimization.pdf +3 -0
  41. gru.pdf +3 -0
  42. language_models_are_unsupervised_multitask_learners.pdf +3 -0
  43. matrixcookbook.pdf +3 -0
  44. seq2seq.pdf +3 -0
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