diff --git a/modules/module_4.html b/modules/module_4.html index 9726637..7b5a2e7 100644 --- a/modules/module_4.html +++ b/modules/module_4.html @@ -1,4 +1,3 @@ - @@ -21,10 +20,13 @@ color: #8B0000; } .notebook-link { - display: inline-flex; + display: flex; align-items: center; - gap: 10px; - margin-top: 10px; + margin-bottom: 20px; + } + .notebook-title { + font-weight: 500; + min-width: 300px; } .back-button { position: fixed; @@ -56,7 +58,7 @@

Module 4: Transformer Models for Semantic Search

Preparation for Module 4:

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    +

    1. Read the article listed under literature below and prepare for class discussion:

        @@ -70,32 +72,34 @@

        Preparation for Module 4:

    Literature:

    -

    - Dobson, J.E. On reading and interpreting black box deep neural networks. Int J Digit Humanities 5, 431–449 (2023). https://doi.org/10.1007/s42803-023-00075-w -

    +

    + Dobson, J.E. On reading and interpreting black box deep neural networks. Int J Digit Humanities 5, 431–449 (2023). + https://doi.org/10.1007/s42803-023-00075-w +

    -

    Notebooks we will use in class:

    -
    -

    Download über API der DDB

    +
    +
    + Download über API der DDB Download_über_API_der_DDB.ipynb In Colab -
    -
    -

    Introduction to Transformers: What Can They Do?

    - - Open Introduction to Transformers in Colab - -
    -
    -

    Tranformers and Semantic Search

    + +
    + Introduction to Transformers: What Can They Do? + + Transformers_what_can_they_do.ipynb In Colab + +
    + +
    + Transformers and Semantic Search Transformers_SemantischSearch.ipynb In Colab -
    +

    Workload (after class):

      @@ -106,7 +110,6 @@

      Workload (after class):

    -

    Date and Time:

    November 22, 2024 (10:00 AM to 11:30 AM)

    @@ -115,4 +118,3 @@

    Date and Time:

    -