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://mintcdn.com/ts-docs/aFVnpmCIX68NpsV1/images/ai-primer/training-paths-dark.webp?fit=max&auto=format&n=aFVnpmCIX68NpsV1&q=85&s=2747633edb0e54fa3f14a8aba830f4fd" rel="nofollow">https://mintcdn.com/ts-docs/aFVnpmCIX68NpsV1/images/ai-prime...
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.
mortsnort · · focus · HN ↗
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://mintcdn.com/ts-docs/aFVnpmCIX68NpsV1/images/ai-primer/training-paths-dark.webp?fit=max&auto=format&n=aFVnpmCIX68NpsV1&q=85&s=2747633edb0e54fa3f14a8aba830f4fd" rel="nofollow">https://mintcdn.com/ts-docs/aFVnpmCIX68NpsV1/images/ai-prime...
riknos314 · · focus · HN ↗
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.