DocsGPT — Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.
このリポジトリでは、トークナイザーの最適化を提供しています。
トークナイザーの最適化
MLINFO COLLECTION
AI Agent
ツール利用、計画、マルチエージェント、コード実行などエージェント実装に関係する情報です。
記事一覧
1 / 27qlib — Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
クエンティング投資プラットフォームを実現するためにAI技術を活用します。
クエンティング投資プラットフォーム
carla — Open-source simulator for autonomous driving research.
CARLAは、オープンソースのシミュレータで、主に自動運転研究のために使われます。このシミュレータを使うことで、車両などのロボットをシミュレートし、様々なシナリオを実行できます。
自動運転研究用のオープンソースシミュレータ
argo-workflows — Workflow Engine for Kubernetes
argo-workflowsは、Kubernetes用のワークフローエンジンです。
Kubernetes用ワークフローエンジンを提供する
Gymnasium — A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Gymnasiumは、シングルエージェントRLの疑似環境を提供するAPIです。
疑似環境を提供する
Memory Tax: Dissecting the Net Value of Agent Memory
Memory is increasingly used in long-horizon agents, yet the net value of building memory over direct retrieval from raw history remains largely unclear. Through a large-scale evaluation across…
nlp
ai-engineering-hub — In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
このリポジトリには、LLM、RAG、およびオーソリティの認識を含む、AIエンジニアリングのための深いドキュメントがあります。
記事を理解するためのテキスト分析ツール
RSIHub: A Composable Framework for Agent-Evolution Methods
Agent-evolution methods use execution feedback to improve prompts, skills, tools, and orchestration, but their implementations often rebuild the same experimental machinery. We present RSIHub, an…
nlp
Deep Search in Real-World Web Environments
Despite substantial progress in Deep Search agents, their ability to conduct end-to-end research in real-world open Web environments remains insufficiently evaluated. Unlike static retrieval…
machine-learning
Awesome-Embodied-Robotics-and-Agent — This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
Embodied AIやロボットとLarge Language Modelを組み合わせた研究のリポジトリ。
Embodied AIやロボット研究
ART — Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
ARTは、多段強化学習トレーナーです。このトレーナーは、GRPOを使用して、現実世界のタスクに対して、多段強化学習を行うことができます。
多段強化学習トレーナー
HiSTEVE 1.0: Harnessing Human-Interface VLA Agents for Open-World Games
Building virtual embodied agents that operate in open-ended games like human players is a long-standing goal requiring both long-horizon autonomy and reliable native-interface control. As a…
nlp
Trajectory2Gym: Decision-Grounded Compositional Interaction Synthesis for Tool-Use Agents
Successful tool-use trajectories are not necessarily useful supervision. Even successful interactions may underrepresent multi-step dependencies or contain actions that are unjustified by the…
nlp
Hy-Nomas: Towards Free-form Interactive World Generation
Interactive world generation requires models to follow successive commands while preserving relevant history and action consequences. We present Hy-Nomas, a video world model with an 8B diffusion…
deep-learning
VibeVideoBench: Evaluating Multimodal Agents on Code-Driven Video Generation
Diffusion video models produce striking clips, but they cannot reliably render an exact formula, a correct chart, a rule-consistent game or narration synchronized to on-screen events. A different…
nlp
Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution
LLM agents are increasingly used to solve real-world problems, and their effectiveness depends on both the underlying models and the harnesses that support their operation. However, most existing…
nlp
Building AI Research Teams for Autonomous Discovery of Linear Attention Architectures
Autonomous agents can increasingly propose ideas, modify code, and run experiments, creating an opportunity to accelerate scientific discovery using teams of collaborative AI researchers. To escape…
nlp
iPrefBench: A User-Centric Benchmark for Personalized Mobile Use Agents
An agent that truly knows and acts on behalf of its user has been a long-standing promise of AI assistants. Computer-use agents bring this promise within reach by capably executing fully specified…
deep-learning
DATAGEN — DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
AIドライブのマルチエージェント研究アシスタント。仮説の生成、データ分析、およびレポートの生成を自動化する。
AI研究アシスタント
DynaFlow: Learning Free-Form Multi-Agent Orchestration
Multi-agent systems often rely on predefined collaboration structures, limiting their ability to adapt to diverse task requirements. We introduce DynaFlow, a framework that integrates free-form…
nlp
Δτ-Bench: Pushing Agents Toward a Moving Capability
In this paper, we introduce Δτ-Bench, an executable agent benchmark that models the structural evolution of large tool ecosystems. In Δτ-Bench, independently evolving services continually reshape how…
deep-learning
InteractiveWorld: A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants
People have long dreamed of an assistant that is always there to guide them and remind what they forget, from new dishes to lost keys. Powered by multimodal large language models (MLLMs), egocentric…
nlp
CRM-Agent-Bench: Benchmarking Tool-Using Agents in Stateful Enterprise Environments
Deploying language agents in real applications demands more than the right answer: an agent must execute a multi-step business process correctly, follow domain-specific rules, and interact with a…
nlp
EmbodiedLab: Benchmarking Embodied Agents That Act to Know
Embodied agents are expected to accomplish real-world goals by deciding for themselves how and when to interact with their surroundings. For many such goals, changing the physical state of the world…
computer-vision