Generative Pre-trained Transformers (GPT) are suitable for building an AI-based application that can generate SQL queries from natural language input provided by employees.
GPT for Natural Language Processing:
GPT models are designed for understanding and generating human-like text based on natural language input.
They can be fine-tuned to interpret specific tasks, such as converting natural language queries into SQL queries.
Why Option A is Correct:
Natural Language Understanding: GPT is highly effective for tasks that require understanding of human language and generating structured outputs like SQL.
User-Friendly: Requires minimal technology experience from employees, as they provide simple text input.
Why Other Options are Incorrect:
B. Residual neural network: Typically used in computer vision tasks, not for natural language-to-SQL conversion.
C. Support vector machine: Used for classification tasks, not for generating structured queries from text.
D. WaveNet: A deep generative model for audio data, unrelated to text-to-SQL tasks.
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