Discover the correct answer to the Infosys Certified Applied Generative AI Professional Exam question on prompt engineering toolkits and libraries. Learn why GPT-3 Playground is the best example among the given options.
Table of Contents
Question
Which of the following is an example of prompt engineering toolkit or library?
A. TensorFlow
B. PyTorch
C. Scikit-learn
D. GPT-3 Playground
Answer
D. GPT-3 Playground
Explanation
GPT-3 Playground is a web-based interface provided by OpenAI that allows users to interact with the GPT-3 language model and experiment with various prompts and settings. It serves as a prompt engineering toolkit by enabling users to:
- Input and refine prompts to generate desired outputs from the GPT-3 model
- Adjust parameters such as temperature, frequency penalty, and presence penalty to control the model’s output
- Test and iterate on prompts to improve the quality and relevance of the generated text
GPT-3 Playground is specifically designed for prompt engineering, making it the most appropriate answer among the given options.
The other options, TensorFlow, PyTorch, and Scikit-learn, are not primarily used for prompt engineering:
- TensorFlow and PyTorch are deep learning frameworks used for building and training neural networks, including language models like GPT-3. However, they are not prompt engineering toolkits themselves.
- Scikit-learn is a machine learning library for Python that provides tools for data preprocessing, feature selection, and model evaluation. While it can be used in conjunction with language models, it is not a prompt engineering toolkit.
In summary, GPT-3 Playground is the best example of a prompt engineering toolkit or library among the given options, as it provides a user-friendly interface for experimenting with prompts and fine-tuning the GPT-3 model’s output.
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