hermes-ai.net

ドキュメントを見る →
HermesHermes Agent ドキュメント
← Back to case library
Case / 2100592786516951490リサーチ
Case media / 1MP4 ↗

Niels Rogge

@NielsRogge
Verified

Localized reading

Papers with Code MCP サーバーのご紹介です。そのリリースを記念して、@typesafeai が「search_papers」ツールを使用して Jev のアーキテクチャを調査するよう Claude Code に依頼しました。そこで思いついたのが次のようなものです。「もし...

Original post / EN

Introducing the Papers with Code MCP server! To celebrate its release, I've asked Claude Code to research the architecture of Jev by @typesafeai using the `search_papers` tool. Here's what it came up with: "If Jev is architecturally anything public, it's a large schema-conditioned bidirectional encoder with parallel label-query heads (GLiNER/ML-Decoder shape) trained with a proper-scoring-rule RL objective (RLCR shape), scaled far past the ~150M-param range those papers operate in — "neither small nor an LLM" fits that. The 40–200× speedup is consistent with removing autoregression, not with any exotic mechanism."
views
1.5万
likes
78
saves
57
reposts
6
原文を見る ↗

出典

This independent archive preserves a public post with attribution. Text, media, account details and trademarks belong to their respective owners.