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。
An effective agent memory system should adapt to a user's history and task requirements. Human-annotated super
Multi-agent systems (MAS) require both effective coordination and specialized task execution. Existing prompt
Short-video search needs compact query rewriters that recover users' personalized intent from ambiguous querie
Multi-Token Prediction (MTP) is now a common ingredient in language-model pre-training, as it improves downstr
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。
An effective agent memory system should adapt to a user's history and task requirements. Human-annotated super
Multi-agent systems (MAS) require both effective coordination and specialized task execution. Existing prompt
Short-video search needs compact query rewriters that recover users' personalized intent from ambiguous querie
Multi-Token Prediction (MTP) is now a common ingredient in language-model pre-training, as it improves downstr
While frontier vision-language models demonstrate strong capabilities in user interface (UI) navigation, their
Humans routinely consume multimodal content, where textual and visual information is naturally interleaved. Al
On-Policy Self-Distillation (OPSD), which aligns a student model's token-level distribution with that of its s
Locating relevant evidence in long inputs is a core capability of Multimodal Large Language Models. Prior stud
Autoregressive (AR) image generators are powerful in principle but inflexible in practice: training with a fix
Large Language Models (LLMs) are increasingly used in multi-turn agentic workloads that require sustained inte
Kolmogorov-Arnold Networks (KANs) have recently been proposed as a promising alternative to Multi-Layer Percep
Large language agents for literary role-playing are typically modeled around dialogue generation, leaving char
This paper studies retrieval-augmented generation (RAG), which leverages external knowledge to improve the per
Music audio generation spans instrumental clips, full songs with vocals, edits of existing recordings, and sys