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Search: “inference”

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Local Ai

b9833

DGX agent

Release b9833 is a build of llama.cpp, an open-source project for LLM inference in C/C++. This release represents an incremental update within the llama.cpp development cycle, following the standard r

local-aillama-cpp-releases

28 Jun 2026

Agents

There's a big difference between a single model call and serving an agent at scale. @ZainHasan6 breaks down what actually changes. Catch our…

DGX agent

There's a big difference between a single model call and serving an agent at scale. @ZainHasan6 breaks down what actually changes. Catch our team this Monday at 9 a.m. PST for their open-source infere

Search: “inference”

b9833

There's a big difference between a single model call and serving an agent at scale. @ZainHasan6 breaks down what actually changes. Catch our…

b9825

VCs are now sharing screenshots in group chats of Claude discouraging investment in open-source AI infra startups and models. Obviously ther…

AnySimLite: A Lightweight Few-Shot Similarity Encoder for On-Device Speech-Adjacent Classification

b9816

b9821

Data-driven Sensor Placement for Predictive Applications: A Correlation-Assisted Attribution Framework (CAAF)

Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network

hisao{}: A GPU-Native Parallel Optimizer for Multimodal Black-Box Functions via Convergence-Anticonvergence Oscillation

https://huggingface.co/nvidia/GLM-5.2-NVFP4

Learning Probabilistic Filters with Strictly Proper Scoring Rules

Learning to Recover Task Experts from a Multi-Task Merged Model

Sail Research raises $80M to optimize long-horizon AI agents

b9786

Distill on a Diet: Efficient Knowledge Distillation via Learnable Data Pruning

Don't Go Breaking My LLM: The Impact of Pruning Attention Layers on Explanation Faithfulness and Confidence Calibration

Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding

Enhancing Brain MRI Anomaly Detection and Reasoning with ROI Rethink and Synthetic Data

Erased, but Not Gone: Output Forgetting Is Not True Forgetting

Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practice

Multi-Agent Goal Recognition with Team- and Goal-Conditioned Reinforcement Learning and Factorized Branch-and-Bound

Physics-conforming Latent Twins

Quantization Inflates Reasoning: Token Inflation as a Hidden Cost of Low-Bit Reasoning Models

SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs

Speculative Decoding at Temperature Zero: A Scoped Safety-Invariance Screen with a 48,072-Sample Expansion

TacVerse: A Multi-Sensor Dataset and Benchmark for Cross-Sensor Vision-Based Tactile Perception

Taxonomy-aware deep learning for hierarchical marine species classification in underwater imagery

Toward Low-Latency Vision-Language Models with Doubly-Correct Predictions in Egocentric Visual Understanding

What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment

400T tokens is what production adoption looks like. Teams are moving real workloads to open models because they want frontier quality, bette…

5.2 could be better with more RL ...

Adversarial dynamical systems characterize when data-driven learning succeeds or fails

b9784

CAVEWOMAN: How Large Language Models Behave Under Linguistic Input and Output Compression

DDStereo: Efficient Dual Decoder Transformers for Stereo 3D Road Anomaly Detection

Lite Any Stereo V2: Faster and Stronger Efficient Zero-Shot Stereo Matching

Natural Identifiers for Privacy and Data Audits in Large Language Models

NVIDIA and AWS Collaborate to Bring AI to Production at Scale

P-MTP: Efficient Document Parsing via Multi-Token Prediction with Progressive Depth Scaling

Qualcomm shares jump 14% on Modular acquisition, guidance upgrade

Sim-to-Real Betting on the E-Process: Bringing 'simulators' to anytime-valid confidence sequences

Solving Inverse Problems of Chaotic Systems with Bidirectional Conditional Flow Matching

TurboMPC: Fast, Scalable, and Differentiable Model Predictive Control on the GPU

Adversarial observations in probabilistic State-Space Models for robust Reinforcement Learning

Bayesian three-dimensional seismic travel-time tomography for active- and passive-source seismic data using physics-informed neural network

Causal Discovery in the Era of Agents

CLoE: Expert Consistency Learning for Robust Missing Modality Segmentation