OpenAI presenta el nuevo modelo GPT-3 `text-davinci-003`

• Basado en el modelo InstructGPT existente
  • Un modelo que genera texto siguiendo instrucciones en el prompt: "Explica el alunizaje en unas cuantas frases para un niño menor de 6 años"
• En comparación con 002, 003 mejora en lo siguiente
  • Genera texto de mayor calidad
  • Puede manejar instrucciones más complejas
  • Puede generar contenido en formatos más largos, lo que permite realizar tareas que antes eran difíciles
• Está disponible desde hoy mismo y mantiene el mismo precio de siempre ($0.0200 / 1k tokens)

[xguru]

El ejemplo incluido en el correo de Open AI es el siguiente.

Cuando se le preguntó: "I am trying to write a web application. What backend frameworks could I use, and what are their pros and cons?"

text-davinci-002 :

There are many backend frameworks that could be used for a web application. Some popular ones include Django, Ruby on Rails, and Express.js. Each of these frameworks has its own pros and cons, so it is important to choose one that will fit the specific needs of your application.

text-davinci-003 :

1. Node.js: Node.js is a JavaScript-based runtime environment that is popular for writing backend applications. Pros: Node.js is fast, lightweight, and easy to learn, and it has a large community of developers. Cons: Node.js can be difficult to debug and there is a lack of robust tools for building large-scale applications.

2. Django: Django is a popular Python-based web framework. Pros: Django is powerful and well-documented, making it easy to get started. It also supports a wide range of databases and APIs, allowing you to easily integrate with other services. Cons: Django can be difficult to scale for large applications and can be slow for certain types of requests.

3. Ruby on Rails: Ruby on Rails is a popular web framework based on the Ruby programming language. Pros: Ruby on Rails is easy to learn and can be used to quickly build powerful web applications. It also has a wide range of built-in features, such as authentication and authorization. Cons: Ruby on Rails can be slow and resource-intensive, and it can be difficult to scale.