Perplexity Decider v1.3: Training, eval, and use cases

(perplexity.ai)

30 points | by gmays 1 hour ago

4 comments

  • 0o777 0 minutes ago
  • waximabbax 21 minutes ago
    Well congrats.

    Here are some thoughts not facts:

    On AA Decision Index.

    Decider v1.3 and Decider v.1.2 seem to have same benchmarks. However, V1.3 flash beats V1.2 flash by 4 points.

    I am not particulary excited about this pattern/trend of having flash versions for decision models. The whole point of Decision models was to deliver faster ouput for high volume requests at much cheaper cost than Reasoning models. Since most reasoning models can and probably do outperform decision models already in accuracy but they are a lot slower and are pricier. Reasoning Models can already return structured ouput.

    So your flagship model must be fastest and most accurate.

    Unless it can handle some different form of input other than just image and text, I don't see the point of having both flagship and flash version for the same model.

  • k__ 9 minutes ago
    Does anyone really use such things for security?
    • waximabbax 0 minutes ago
      I highly doubt it. Even if a company does internally, its highly unlikely they will reveal it publically.

      One use case is live content moderation or streaming where reasoning models could be a lot slower and its hard to hardcode logic.

  • redanddead 23 minutes ago
    Complete lack of creativity in the field of AI...

    Here's new product, which is just our shitty version of this easily reproducible technology

    What is this?

    Same for Google and their decisions api

    • agentdev001 14 minutes ago
      You seem to be confusing market capture for novelty. This almost certainly is not intended to be taken as some greenfield thing from perplexity, same goes for google
    • jgalt212 17 minutes ago
      Perhaps, but if you're already inside GCP it's nice to have something easy to turn on.