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  • Transformer-is-All-you-Need

  • Data-Annotation-Module-2

  • Data_Annotation_Lecture_1

  • DLP-NLP-W4

    LLM Finetuning Techniques

  • DLP_NLP_W3

  • DLP-Lecture-2

  • DLP-Lecture-1

  • Transformers-Distilled-HF-Workshop-IITMBS

  • Opportunities-in-the-llm-field

  • Kolmogorov-Arnold-Networks (KAN)

    Intro to KAN

  • PostNorm-vs-PreNorm

  • Lecture-9-Positional-Encoding-Schemes

  • Lecture-7-Pre-training Dataset

  • Lecture-8-Fast Attention Mechanisms

  • Lecture-6-BigPicture

  • Lecture-5-T5

  • Lecture-3-BERT

  • Linear Regression - Kernel Regression - ProbabilisticView

    MLT - Week5 Session slides

  • Kernel-PCA-MLT

    A presentation used in Machine Learning Techniques Week-2 live session

  • DL-BootCamp-Sep2023