NLP Tasks and Examples

Learn about the different NLP tasks implemented with GPT-3 and see some examples.

We'll cover the following

Grammar correction
- Code playground
Exercise
Comparing the output of GPT-2 and GPT-3

Now we will cover an industrial approach to GPT-3 engine usage. For example, OpenAI provides an interactive educational interface that does not require an API. So a school teacher, consultant, linguist, philosopher, or anybody who wishes to use a GPT-3 engine for educational purposes can do so with no experience at all in AI.

We will first begin by using an API in a notebook.

Grammar correction

If we go to Getting_Started_GPT_3.ipynb in the “Code playground” section below, we can experiment with grammar correction with different prompts.

Open the notebook and go to “Example 1: Grammar correction”:

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Course Introduction

Basics of Transformers

Architecture of the Transformer Model

Fine-Tuning BERT Models

Pretraining a RoBERTa Model from Scratch

Downstream NLP Tasks with Transformers

Machine Translation with the Transformer

The Rise of Transformers with GPT-3 Engines

Applying Transformers for AI Text Summarization

Matching Tokenizers and Datasets

Transformers for NLP—Exam 1

Semantic Role Labeling with BERT-Based Transformers

Your Data Speaks: Story, Questions, and Answers

Detecting Customer Emotions to Make Predictions

Analyzing Fake News with Transformers

Interpreting Black Box Transformer Models

From NLP to Task-Agnostic Transfomer Models

The Emergence of Transformer-Driven Copilots

Transformers for NLP—Exam 2

Conclusion

Appendix

NLP Tasks and Examples

Grammar correction