GitHub Repo

GitHub 熱門專案、開源工具、框架、runtime 與重要 release。

ACE-RTL Has Nemotron Iteratively Compile and Fix Verilog, Achieving a 97.1% Average Pass Rate Across Nine Task Categories

NVIDIA integrated Nemotron 3 Ultra into a “generate-test-reflect” RTL agent loop, achieving a 97.1% average pass rate across nine agentic task categories in CVDP. The results show that executable verification can significantly strengthen chip-design models, although data overlap, tool configurations, and vendor-run evaluations still limit generalizability.

2026-07-30

推論系統

Same Model Doubles as Tool-Call Predictor, Boosting Qwen 4B Next-Step Hit Rate by More Than 17 Points

Researchers enabled agents to predict and pre-execute their own next tool calls during inference, replacing an external draft model with shared weights and a shared KV cache. Joint reinforcement learning raised average Hit@1 to 61.2 and 66.3 for two Qwen 4B models, respectively, though the paper has yet to quantify end-to-end speedups in real-world parallel deployments.

2026-07-30

AI 安全

SkillGate Pre-Filters Agent Skills with Rules, Cutting LLM Input by 77% but Still Missing Nearly a Quarter of Attacks

The open-source SkillGate uses 530 rules to identify suspicious snippets before agents load skills, then sends them to an LLM for classification and isolation. Official benchmarks measured a 1.13% false-positive rate and 76.9% recall, showing that a low-cost gateway is feasible but cannot yet replace sandboxing and least privilege.

2026-07-29

代理工具

HANDBOOK.md Governs Agents With Hundred-Page Corporate Rulebooks; Best Strict Pass Rate Across 30 Model Configurations Is Just 36.2%

Surge AI has released 65 long-horizon agent tasks requiring models to follow changing policies spanning 20 to 124 pages while working across email, chat, calendars, and enterprise tools. The best configuration passed only 36.2% of tasks under strict scoring, which requires every rule to be satisfied simultaneously—showing that a large context window does not guarantee sustained compliance.

2026-07-29

代理工具

PatientAgentBench Tests Medical Agents Across 1,200 Tool-Use Dialogues, Yet the Best Model’s Triage Pass Rate Is Still Only 88%

Amazon Science has released PatientAgentBench, which tasks medical agents with completing multi-turn primary care workflows using synthetic medical records and stateful tools. The largest performance gap among the ten models appears in triage decisions, showing that answering medical questions correctly is not enough to prove that an agent can execute workflows safely.

2026-07-29

Layer-Specific LoRA Experiments Show That the Best Update Location Differs for Learning Vocabulary, Facts, and Behavioral Policies

A new study restricted LoRA to the early, middle, or late blocks of Transformers and found that different learning objectives exhibit reproducible “adaptation geometries.” The findings elevate adapter placement from an implementation detail to a design variable for controlling knowledge transfer and side effects.

2026-07-29

開發者平台

GitHub Models to Shut Down Completely on July 30, Disabling Inference APIs and BYOK Endpoints

GitHub Models will discontinue all services on July 30. Existing customers will lose access to the model catalog, Playground, inference APIs, and BYOK endpoints. Migrating to Microsoft Foundry is not simply a matter of changing URLs: teams must also revalidate identity and access, model versions, billing, and output compatibility.

2026-07-29

推論系統

NInfer Hard-Codes Inference Paths for Two Qwen3.6 Models, Reaching 543 Tokens per Second in Long-Context Decoding on a Single RTX 5090

The open-source NInfer uses custom quantization, weight layouts, fused kernels, and an MTP draft path to sustain long-context decoding at about 543 tokens per second for Qwen3.6-35B-A3B on a single RTX 5090. Its speed comes from deep specialization for the model and GPU, but it currently supports only two checkpoints, lacks continuous batching, and has yet to be independently benchmarked under identical conditions.

2026-07-29

AI 基礎設施

MLPerf Endpoints 0.7 Moves Cloud Inference to Continuous Submissions, but Initial Release Still Lacks Cost Normalization

MLCommons has launched Endpoints 0.7 for managed inference services, replacing twice-yearly static comparisons with automated submissions, continuous review, and interactive charts. The initial release covers five providers and three benchmarks, but cost normalization, agentic workloads, and broader participation will not arrive until version 1.0.

2026-07-29

硬體

CoTinyVLA Outperforms 7B Robotics Baselines With Just 0.9B Parameters, but Testing Remains Limited to Simulation

CoTinyVLA distills hierarchical reasoning from a 35B teacher into a 0.9B vision-language-action model, outperforming the strongest 7B baseline across all four LIBERO-Plus test suites. Its code, training pipeline, and weights are public, but there are still no results from real robots, different hardware, or independent reproductions.

2026-07-29

代理工具

JarvisHub Turns the Canvas Into Shared State for Multimodal Agents, but Its First Release Still Lacks Quantitative Evaluation

The open-source JarvisHub uses typed nodes and edges to preserve assets, versions, dependencies, and agent trajectories, allowing long-horizon creative work to live outside linear conversations. The system already provides an executable three-layer architecture and local deployment tooling, but the paper currently presents only qualitative case studies and has yet to demonstrate improvements in reliability or output quality.

2026-07-29

推論系統

Sol-Attn Dynamically Sparsifies Attention Within Online Softmax, More Than Doubling End-to-End Video Generation Speed

NVIDIA researchers have unveiled Sol-Attn, a training-free technique that selects key blocks during attention computation and approximates the contributions of skipped blocks. In NVIDIA's tests across several video models, it delivered roughly 1.9× to 2.34× end-to-end speedups, although its quality and generalization across hardware still require independent verification.

2026-07-29