Covers: theory of Bias
Estimated time needed to finish: 10 minutes
Questions this item addresses:
  • What is bias and sources of bias in ML models?
How to use this item?

Read full medium article. The article provides three examples of bias, accompanying datasets and an overview of measures to mitigate bias and mistrust.

Author(s) / creator(s) / reference(s)
refer to the link
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Understanding The Paper : Persistent Anti-muslim Bias In Large Language Models

Total time needed: ~2 hours
This will help users to understand that how large language models such as GPT-3 capture racial bias
Potential Use Cases
Debiasing the language model
Who is This For ?
INTERMEDIATENLP Data scientist from all audience levels
Click on each of the following annotated items to see details.
ARTICLE 1. Bias in Machine learning models
  • What is bias and sources of bias in ML models?
10 minutes
ARTICLE 2. Algorithmic Bias in Natural language processing models
  • What are type of biases and algorithmic bias?
30 minutes
PAPER 3. Understanding the GPT-3
  • What is GPT-3 ?
  • How is GPT-3 different from previous transformer based architectures?
  • How GPT-3 uses Few shot learning and zero shot learning to eliminate fine-tuning and the need for large task specific datasets?
25 minutes
ARTICLE 4. Persistent Anti-Muslim Bias in Large Language Models
  • What type of bias is found in GPT-3?
  • How to debias GPT-3 by introducing positive words and phrases?
15 minutes

Concepts Covered

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