‹ BackHN Continuity

Thread

Introducing System One Models and Jev

1989 points · 520 comments · albelfio

  1. mortsnort · · focus · HN ↗
    I am confused why they say it is not an LLM and then in the documentation it is shown as being an LLM derivative. The documentation makes it sound like they're taking a pretrained LLM and then giving it their unique post-training. How is that not an LLM?

    FAQ: Is Jev just a smaller LLM?

    Jev is neither small nor an LLM, hence being off the intelligence Pareto curve.

    Image in documentation: <a href="https:&#x2F;&#x2F;mintcdn.com&#x2F;ts-docs&#x2F;aFVnpmCIX68NpsV1&#x2F;images&#x2F;ai-primer&#x2F;training-paths-dark.webp?fit=max&amp;auto=format&amp;n=aFVnpmCIX68NpsV1&amp;q=85&amp;s=2747633edb0e54fa3f14a8aba830f4fd" rel="nofollow">https:&#x2F;&#x2F;mintcdn.com&#x2F;ts-docs&#x2F;aFVnpmCIX68NpsV1&#x2F;images&#x2F;ai-prime...

    1. anentropic · · focus · HN ↗
      Yeah, it must be an LLM for some definitions of LLM

      It seems to take two forms of context input: &#x27;state&#x27; and &#x27;questions&#x27;

      <a href="https:&#x2F;&#x2F;docs.typesafe.ai&#x2F;concepts&#x2F;state" rel="nofollow">https:&#x2F;&#x2F;docs.typesafe.ai&#x2F;concepts&#x2F;state

      &gt; State can be as simple as a string

      &gt; State can also be a JSON object or array containing related context, examples, and other information that helps the model answer the associated questions.

      &gt; The state contains the content and supporting facts.

      The state seems to be schemaless, while the questions determine the output schema.

Open on Hacker News to reply ↗

Unofficial Hacker News client; not affiliated with Y Combinator.