diff --git a/1-preparing-to-train.html b/1-preparing-to-train.html index 1167b2f..02c829b 100644 --- a/1-preparing-to-train.html +++ b/1-preparing-to-train.html @@ -488,7 +488,7 @@

Challenge

-
+

A summary of the principles is listed below:

  • Social and clinical value: Does the social or clinical value of diff --git a/2-model-eval-and-fairness.html b/2-model-eval-and-fairness.html index ad49178..7851116 100644 --- a/2-model-eval-and-fairness.html +++ b/2-model-eval-and-fairness.html @@ -544,7 +544,7 @@

    What accuracy metric to use?

    -
    +
    1. It is best if all patients who need the screening get it, and there is little downside for doing screenings unnecessarily because the @@ -673,7 +673,7 @@

      Matching fairness terminology with definitions

      -
      +

      A - 3, B - 2, C - 4, D - 1

      @@ -754,7 +754,7 @@

      Red-teaming large language models

      -
      +

      Most publicly-available LLM providers set up guardrails to avoid propagating biases present in their training data. For instance, as of @@ -805,7 +805,7 @@

      Challenge

      -
      +

      While the picture is of Barack Obama, the upsampled image shows a white face. Unblurred version of the pixelated picture of Obama. Instead of showing Obama, it shows a white man.

      @@ -906,7 +906,7 @@

      Pros and cons of preprocessing options

      -
      +

      A downside of oversampling is that it may violate statistical assumptions about independence of samples. A downside of undersampling diff --git a/8-releasing-a-model.html b/8-releasing-a-model.html index 65af86f..586749f 100644 --- a/8-releasing-a-model.html +++ b/8-releasing-a-model.html @@ -493,7 +493,7 @@

      Why should we share trained models?

      -
      +
      • Accelerating research: Sharing models allows @@ -547,7 +547,7 @@

        Challenges and risks of model sharing

        -
        +
        • Privacy concerns: Sharing models that were trained @@ -843,7 +843,7 @@

          What pieces must be well-documented to ensure reproduc -
          +
          • Environment setup
          • Training data @@ -906,7 +906,7 @@

            Document your model

            -
            +

            Pair up with a classmate and discuss what you wrote/read. Do model cards seem like a useful tool for you moving forwards?

            diff --git a/aio.html b/aio.html index 4e47bf2..6f69bb3 100644 --- a/aio.html +++ b/aio.html @@ -806,7 +806,7 @@

            Challenge

            -
            +

            A summary of the principles is listed below:

              @@ -1307,7 +1307,7 @@

              What accuracy metric to use?

              -
              +
              1. It is best if all patients who need the screening get it, and @@ -1450,7 +1450,7 @@

                Matching fairness terminology with definitions

                -
                +

                A - 3, B - 2, C - 4, D - 1

                @@ -1536,7 +1536,7 @@

                Red-teaming large language models

                -
                +

                Most publicly-available LLM providers set up guardrails to avoid propagating biases present in their training data. For instance, as of @@ -1588,7 +1588,7 @@

                Challenge

                -
                +

                While the picture is of Barack Obama, the upsampled image shows a white face. Unblurred version of the pixelated picture of Obama. Instead of showing Obama, it shows a white man.

                @@ -1693,7 +1693,7 @@

                Pros and cons of preprocessing options

                -
                +

                A downside of oversampling is that it may violate statistical assumptions about independence of samples. A downside of undersampling @@ -7678,7 +7678,7 @@

                Why should we share trained models?

                -
                +
                • @@ -7734,7 +7734,7 @@

                  Challenges and risks of model sharing

                  -
                  +
                  • @@ -8044,7 +8044,7 @@

                    What pieces must be well-documented to ensure reproduc -
                    +
                    • Environment setup
                    • @@ -8115,7 +8115,7 @@

                      Document your model

                      -
                      +

                      Pair up with a classmate and discuss what you wrote/read. Do model cards seem like a useful tool for you moving forwards?

                      diff --git a/index.html b/index.html index e8e6dca..a0fbf54 100644 --- a/index.html +++ b/index.html @@ -706,8 +706,9 @@

                      Create a Hugging Face ac upload/share models to your Hugging Face account during the workshop. To generate a token, visit the Access Tokens setting page after logging in. Once there, click “New token” to generate an -access token. We’ll use this token later to log in to Hugging Face via -Python.

                      +access token. Select the “Write” access token type, and then provide a +short name (e.g., trustworthyAI). We’ll use this token later to log in +to Hugging Face via Python.