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: https://mintcdn.com/ts-docs/aFVnpmCIX68NpsV1/images/ai-prime...
Yeah, it must be an LLM for some definitions of LLM
It seems to take two forms of context input: 'state' and 'questions'
https://docs.typesafe.ai/concepts/state
> State can be as simple as a string
> State can also be a JSON object or array containing related context, examples, and other information that helps the model answer the associated questions.
> The state contains the content and supporting facts.
The state seems to be schemaless, while the questions determine the output schema.
LLM seems to have become synonymous with Generative Transformer architecture.
While this model may share much with GPT-style models on the encoder side, it clearly has a different decoder architecture. So is a high-parameter count language model an LLM even when it doesn't have a GPT-style decoder? The definitions are in flux.