Developer Tools B

Showing 31–60 of 440
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Ordered-to-disordered transfer learning with graph neural networks for formation-energy and HOMO-LUMO gap prediction in high-entropy perovskite oxides
    Neural Network
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  • NVIDIA Developer Blog · EN Developer Tools extract
    NVIDIA Video Codec SDK 13.1: Zero-Copy Transcode, AV1 B-Frames, and Frame-Accurate Seek
    NVIDIA ships Video Codec SDK 13.1 with zero-copy transcode, AV1 B-frames
    Computer Vision NVIDIA
    NVIDIA released Video Codec SDK 13.1, adding zero-copy transcoding, AV1 B-frame support, and frame-accurate seeking. The update targets accelerating demand for high-quality video across industries, from immersive streaming to media pipelines.
    Read original (NVIDIA Developer Blog) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    The Grokked Illusion: True Equilibrium Mitigates Catastrophic Forgetting
    Machine Learning Neural Network Retrieval-Augmented Generation (RAG) Transformer
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Adaptive FastOPD: Progress-Aware Rollout Horizon Expansion for Efficient On-Policy Distillation
    Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • OpenAI Blog · EN Developer Tools extract
    Building abundant intelligence
    OpenAI lays out full-stack plan for 'abundant intelligence'
    OpenAI outlined a full-stack approach, spanning compute infrastructure through models, to build 'abundant intelligence' broadly available to users. The vision pairs large-scale infrastructure expansion with continued capability gains.
    Read original (OpenAI Blog) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search
    Deep Learning Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    MolGVR: A Chemistry-Grounded Framework for Text-to-Molecule Generation
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  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    Analytical and Bootstrap Confidence Intervals of Double Machine Learning: Simulation studies and an application to rural-urban difference in obesity prevalence
    Algorithms & Theory Inference Machine Learning Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • Simon Willison's Weblog · EN New Model Releases extract
    datasette-agent 0.4a0
    Datasette Agent 0.4a0 lets agent tools run code in the user's browser
    Datasette Agent 0.4a0 adds an await context.browser_task() mechanism that lets agent tools execute custom JavaScript directly in the user's browser. The release makes it easier for Datasette Agent plugins to provide tools that run client-side.
    Read original (Simon Willison's Weblog) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    ModelEquivBench: Certifying Multi-Relational Evaluation of LLM-Generated Optimization Models
    Claude GPT Neural Network
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    AgenticRepair: Multi-Faceted Program Context Engineering for Agentic Vulnerability Repair
    AI Agents Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN Training & Fine-tuning
    Explore Beyond the Boundary Using Entropic Information
    AI Agents Retrieval-Augmented Generation (RAG) Reinforcement Learning
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗
  • Hacker News (Front Page) · EN Developer Tools extract
    Situational Awareness down 67% in July in AI stock rout
    'Situational Awareness' fund down 67% in July amid AI stock rout
    The Wall Street Journal reports that the 'Situational Awareness' investment vehicle fell 67% in July during a sharp sell-off in AI stocks. The drop shows how concentrated bets on high-flying AI names were hit hard as the sector corrected.
    Read original (Hacker News (Front Page)) ↗
  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    ALIVE: Warnings Before Exclusion in Budgeted Multi-Source Learning
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  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    OnlineCache: Learning Dynamic Caching Policies with Error Correction for Efficient Diffusion Inference
    Inference Retrieval-Augmented Generation (RAG) Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    Studying quantization trade-offs for efficient inference deployment in machine translation
    Deep Learning Inference Quantization
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  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Simulation Code Generation for Fluid Systems using Large Language Models: Benchmarking Models and Prompting Strategies
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  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Exploring Block Anomaly Detection In HDFS Log Data Analysis
    Deep Learning Machine Learning Natural Language Processing (NLP) Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    Zero-Mem: Zero-Token Memory Operations for LLM Agents
    AI Agents Neural Network Software Engineering
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN Training & Fine-tuning
    The Greedy Advantage in Finite-Horizon Bandits
    Algorithms & Theory
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Cross-Resolution Semantic Learning for Graph Domain Adaptation
    Embeddings Neural Network
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  • arXiv cs.AI (Artificial Intelligence) · EN Multimodal
    Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens
    Speech Processing
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  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Analysing User Reviews to Identify User Concerns Around Permissions in AI Apps
    Machine Learning Neural Network
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    The persuasive power of large language models does not depend on their perceived national origin
    Embeddings GPT Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    Sample Efficient Hierarchical Reinforcement Learning via Best Policy Identification
    Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels
    Machine Learning Neural Network
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  • arXiv cs.LG (Machine Learning) · EN Safety & Evaluation
    RTLCurator: Label-Efficient Data Curation for RTL Generation
    Retrieval-Augmented Generation (RAG) Software Engineering
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.CL (Computation and Language) · EN Developer Tools
    Language Models Agree With Each Other, Not With Readers
    GPT Neural Network Reinforcement Learning
    Read original (arXiv cs.CL (Computation and Language)) ↗
  • arXiv cs.LG (Machine Learning) · EN Funding & M&A
    UniPolymer: A Unified Framework for Property Prediction, Structure Recommendation, and Evaluation in Polyimide Design
    Read original (arXiv cs.LG (Machine Learning)) ↗
  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    CalibratedRubric: Task-Adaptive Rubric Banks for Open-Ended LLM Evaluation
    Neural Network Retrieval-Augmented Generation (RAG)
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗