pruna — Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
デベロッパー向けのモデロプティミゼーションフレームワークです。モデルの高速化と効率化を実現することができます。
Use Case
材料候補探索、分子生成、実験条件探索、ベイズ最適化に関係する技術です。
デベロッパー向けのモデロプティミゼーションフレームワークです。モデルの高速化と効率化を実現することができます。
分散トレーニングと推論を容易、効率的に実行するためのディープラーニング最適化ライブラリです。
Video multimodal large language models (MLLMs) can describe what happens in a video, but rarely identify when
Large language models are increasingly used in K-12 education, but existing benchmarks mainly test exam questi
When a real-world scene is captured by a smartphone camera and viewed on its screen, the displayed image often
Structural fidelity is essential to scientific methodology diagrams. To communicate research logic, these diag
デベロッパー向けのモデロプティミゼーションフレームワークです。モデルの高速化と効率化を実現することができます。
分散トレーニングと推論を容易、効率的に実行するためのディープラーニング最適化ライブラリです。
Video multimodal large language models (MLLMs) can describe what happens in a video, but rarely identify when
Large language models are increasingly used in K-12 education, but existing benchmarks mainly test exam questi
When a real-world scene is captured by a smartphone camera and viewed on its screen, the displayed image often
Structural fidelity is essential to scientific methodology diagrams. To communicate research logic, these diag
Entropy control has become an effective tool in reinforcement learning (RL) of large language models (LLMs), h
Reinforcement learning with verifiable rewards (RLVR) commonly uses entropy for advantage shaping. However, en
リカバリーのためのプログラムを学習するフレームワークを提案し、そのプログラムを用いて、文書にラベルを付与する検索システムを構築する。
Reinforcement learning with verifiable rewards (RLVR) is rapidly advancing the reasoning capabilities of langu
Under model--harness co-evolution, harnesses are not merely inference-time scaffolds but data-generating compo
Real-time multimodal applications, including voice agents and interactive video generation, compose heterogene
We present S1-Omni, a unified multimodal reasoning model for scientific understanding, prediction, and generat
Muon is competitive with AdamW in large-scale pre-training, but its value for reinforcement-learning (RL) post
Despite strong capabilities in data understanding and decision-making, autonomous data science agents still he
We present a continuous geometric framework that models the discrete algebraic operations of the Transformer a