Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 35 discussion

A is the correct answer

That's wild, someone selected option U

A opção correta para esse cenário é A. Transformadores pré-treinados generativos (GPT). Os modelos GPT são ideais para interpretar texto e gerar consultas SQL com base na entrada em linguagem natural dos funcionários. Esses modelos de IA podem entender solicitações textuais como "Mostre as vendas do último trimestre" e traduzir isso em uma consulta SQL que extraia os dados corretos do banco de dados, facilitando a interação de usuários sem experiência técnica.

Generative pre-trained transformers (GPT): GPT models are well-suited for natural language processing tasks, such as generating SQL queries from input text. These models are designed to understand and generate human-like text, which makes them ideal for translating text input into structured outputs like SQL queries. With minimal training, GPT models can be fine-tuned for specific tasks, such as query generation, and can help employees with minimal technical experience by understanding natural language inputs and converting them into SQL queries.

GPT helps to produces the NL based responsed based on the input text.

The best solution for building an AI-based application that translates natural language (employee input text) into SQL queries is A. Generative pre-trained transformers (GPT). Here's why: GPT's strength in natural language processing: GPT models are specifically designed for understanding and generating human language. They excel at tasks like text translation, question answering, and, crucially, code generation from natural language descriptions. This makes them ideal for converting employee input into SQL queries.

Generative pre-trained transformers (GPT) are powerful natural language processing models that excel in understanding and generating human-like text. In this scenario, a GPT model can be trained or fine-tuned to take natural language input from employees and convert it into structured SQL queries. This makes it accessible for users who may not have technical expertise, allowing them to retrieve the data they need from the database using simple, conversational prompts.