Covers: implementation of Epistemic uncertainty
Estimated time needed to finish: 9 minutes
Questions this item addresses:
  • What is Epistemic Uncertainty?
  • How to measure uncertainty in deep learning models?
How to use this item?

Short artilce and easy understand epistemic uncertaninty issues in the deep learning model.

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Understand the paper: On Hallucination and Predictive Uncertainty in Conditional Language Generation

Contributors
Total time needed: ~40 minutes
Objectives
Learn about hallucination problem and solution in language generation
Potential Use Cases
Improving the natural language generation tasks
Who is This For ?
ADVANCEDNLP Data scientist from all audience levels
Click on each of the following annotated items to see details.
Resource Asset4/4
ARTICLE 1. Introduction to Sequence Modeling Problems
  • Different types of Seqeuence Modeeling and the differences among them?
6 minutes
ARTICLE 2. Uncertainty in Deep Learning. How To Measure?
  • What is Epistemic Uncertainty?
  • How to measure uncertainty in deep learning models?
9 minutes
ARTICLE 3. Controlled neural text generation
  • What is beam search decoding ?
  • What are different controlled neural text generation techniques?
5 minutes
PAPER 4. On Hallucination and Predictive Uncertainty in Conditional Language Generation
  • What is the Hallucination in natural language generation models?
  • How to measure uncertainty in deep learning models?
  • How to reduce the hallucination in beam search?
20 minutes

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