Developer Tools

B
Showing 271–300 of 403
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Structural Pattern Mining in Inka Khipus: A KFG Re-Analysis
    Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • Simon Willison's Weblog · EN Developer Tools
    Quoting Terk Terkowitz
    Amazon leader: where AI doesn't help is a finding, not a failing
    An Amazon engineering leader says that if someone's work doesn't benefit from current AI tooling, that is a finding rather than a failing. Engineers should document why, share it with peers and managers, and seek solutions. Explaining where AI doesn't yet help shows the judgement the company wants.
    Read original (Simon Willison's Weblog) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    CALM: Conflict-Aware Lifecycle Memory Governance for Long-Horizon Language Agents
    AI Agents GPT Reinforcement Learning Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    Do Audio LLMs HEAR Pain? Tracing Acoustic Evidence from Speech to Language Reasoning
    Neural Network Reinforcement Learning Speech Processing
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    A-RSI: Adaptive Task Refresh for Zero-Data Multimodal Self-Improvement
    Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • OpenAI Blog · EN Developer Tools
    The future of the firm
    OpenAI explores how AI could enter the firm's org chart
    In “The future of the firm,” OpenAI considers how AI might enter the org chart: beneath, beside and between people. The piece looks at how that could reshape the way companies are organized and work.
    Read original (OpenAI Blog) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    PT$^3$: Prototype-Guided Self-Supervised Pretraining for Generalizable mmWave Human Point Cloud Representation
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Implicit Minor Detection from Multi-Turn Dialogue in High-Risk AI Interactions: A Constrained Self-Evolving LLM Harness
    Inference Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Agents & Tool Use
    An Alignment Benchmark for Enterprise Agents on Era by Eon
    AI Agents Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    From Leniency to Suspicion: How an Open Post-Training Recipe Changes Whom LLM Fact-Checkers Believe
    Fine-tuning Meta Mistral
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    Value Probes: Learned Value Functions for Beam-Search Red Teaming
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Safety & Evaluation
    What Hallucinations Have We Measured? Semantic Illusion, Confabulation, and Expressed Uncertainty
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • OpenAI Blog · EN Developer Tools
    Legora is building the agentic operating system for legal work
    Legora builds an agentic OS for legal work on OpenAI models
    GPT OpenAI
    OpenAI showcases how legal-tech company Legora uses its models, ChatGPT, and Codex to speed up legal workflows and broaden contract analysis, aiming to free lawyers to focus on higher-value work.
    Read original (OpenAI Blog) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    AtomSteer: Test-Time Constraint Steering for Atomistic Generative Models
    Inference Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Similar Scores, Opposite Failures: Human Correction as an Instrument for Video Caption Evaluation
    Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    SaiVLA-JEPA: Evaluating Future Latent Prediction in JEPA-Conditioned VLA Control
    Computer Vision Embeddings Inference Transformer
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Safety & Evaluation
    Accelerating Nonlinear MPC by Behavior Cloning with Separated Timescales: Application to Nuclear Reactor Load-Following
    Embeddings Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Agents & Tool Use
    Tracekit Box: Running AI Agents in Micro-VMs Where Every Way Out Is Decided and Signed
    AI Agents Deep Learning Meta Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Benchmarking decision models against generative large language models on medical multiple-choice questions
    Software Engineering
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Predict the Reward, Not the World: World Reward Models for ML Agents
    AI Agents Machine Learning Neural Network Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    RoleFUZZER: User-Behaviour Fuzzing for Role-Specification Adherence in Large Language Models
    AI Agents Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    DecisionUnlearn-Bench: Unlearning Probabilistic Decisions under Changing Schemas
    Deep Learning Inference Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    Governance-Aware Federated Learning for Multi-Agent AI Systems: A Policy-Driven Framework for Trustworthy Collaborative AI
    Meta
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    LLMs as Judges and Examinees for Medical Item Difficulty Prediction
    Claude Machine Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Inference & Efficiency
    Agent Transfer Protocol: Server-Mediated Agent-to-Agent Communication Architecture for the Agentic Web
    AI Agents Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • ITmedia AI+ · JA New Model Releases
    PFNの国産フラッグシップモデル「PLaMo 3.1 Prime」発表 オンプレでDeep Research対応 API無料プランも開始
    PFN launches PLaMo 3.1 Prime, a domestic LLM with on-prem Deep Research
    Preferred Networks has released PLaMo 3.1 Prime, its domestically developed flagship generative AI foundation model. It adds Deep Research that can run on-premises and is said to reduce hallucinations. A free API plan is also available for trying it out.
    Read original (ITmedia AI+) ↗
  • The Register (Data Centre) · EN Infrastructure & Hardware
    Big Red gets cozy with Google to offer TPUs to AI customers
    Oracle to offer Google TPUs on OCI alongside Nvidia and OpenAI expansions
    Google Machine Learning NVIDIA OpenAI
    Oracle will be the first cloud outside Google to offer Google's TPUs, available on OCI from 2027. It also announced Nvidia Vera Rubin NVL72 availability, new OpenAI-based products, and a Snowflake partnership.
    Read original (The Register (Data Centre)) ↗
  • Simon Willison's Weblog · EN Developer Tools
    Game Boy Color on My Conference Badge
    Game Boy Color emulator runs on GitHub Universe badge
    Gemini Neural Network
    The GitHub Universe badge is a colour-screen computer. Steve Francia used Gemini to run an NES emulator on it, then added Game Boy and Game Boy Color emulators. With a ROM, Zelda: Link's Awakening plays on it.
    Read original (Simon Willison's Weblog) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction
    Deep Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning
    Computer Vision Neural Network Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗