For generating synthetic data, text quality rating and language translation, is o1, o1-mini, or o1-preview best?

API
1

I am trying to use GPT-4 for the purposes of:

  • Synthetic Data - Generating sentences corresponding to some criteria
  • Text Quality Rating - Rating on defined scales how the quality of a piece of text ranks.
  • Translating from English to other Languages - Translating English to languages such as Chinese, German, etc.

I see a lot of models that are available on the API. They include:

  1. o1
  2. o1-mini
  3. o1-preview

Which of these could be the best for the tasks above? Thanks!

2

The “O” series of models are reasoning AI. They can perform internal steps to think about how to solve a problem.

Actually, none of these cases seem to have such a need. The possibility of introspection could allow the AI to think harder about whether a translation is good and iteratively produce it again and again internally, for example, but this is not a behavior typically exhibited by the models. Any model such as gpt-4o could just dump out the result.

Generate a sentence answer to this - maybe o3:

An infinite grid of unit squares needs to be colored red or blue such that every 2x2 square within the grid contains exactly two red and two blue squares.

Question: Is it possible to create such a coloring that is not a simple repeating pattern? You must justify your answer by providing an approachable solution or by proving the infeasible nature.