Models referred to as "GPT 3.5"
GPT-3.5 series is a series of models that was trained on a blend of text and code from before Q4 2021. The following models are in the GPT-3.5 series:
code-davinci-002 is a base model, so good for pure code-completion tasks
text-davinci-002 is an InstructGPT model based on code-davinci-002
text-davinci-003 is an improvement on text-davinci-002
gpt-3.5-turbo-0301 is an improvement on text-davinci-003, optimized for chat
GPT-3.5 series is a series of models that was trained on a blend of text and code from before Q4 2021. The following models are in the GPT-3.5 series:
code-davinci-002 is a base model, so good for pure code-completion tasks
text-davinci-002 is an InstructGPT model based on code-davinci-002
text-davinci-003 is an improvement on text-davinci-002
gpt-3.5-turbo-0301 is an improvement on text-davinci-003, optimized for chat
Developers these days are spoiled with choice when it comes to selecting an MV* framework for structuring and organizing their JavaScript web apps.
Backbone, Ember, AngularJS… the list of new and stable solutions continues to grow, but just how do you decide on which to use in a sea of so many options?
To help solve this problem, we created TodoMVC - a project which offers the same Todo application implemented using MV* concepts in most of the popular JavaScript MV* frameworks of today.
Backbone, Ember, AngularJS… the list of new and stable solutions continues to grow, but just how do you decide on which to use in a sea of so many options?
To help solve this problem, we created TodoMVC - a project which offers the same Todo application implemented using MV* concepts in most of the popular JavaScript MV* frameworks of today.
