Results for “neutrino”

Build and deploy web servers anywhere using Nitro's filesystem routing, caching, tasks, WebSockets, and deployment presets for Node.js, Bun, Deno, Cloudflare, Vercel, and more.

Notebook Cell References

Finetunes the NV-Generate-CTMR MR-brain diffusion UNet from user-supplied NIfTI training volumes using a wrapper that stages configs and delegates to upstream scripts.

Routes NVIDIA Nemotron Speech (Riva) NIM tasks for ASR, TTS, and NMT, covering cloud-hosted inference, self-hosted Docker deployment, and custom model builds.

Generates custom safety policies for NVIDIA Nemotron content-safety guardrails, producing a Markdown policy, JSON taxonomy, and inference prompts from rough user input.

Train, evaluate, export, distill, quantize, or run inference for a TAO DINO 2D object detector using transformer-based detection with denoising training and multi-scale features.

Plan, debug, tune, evaluate, export, or deploy public Nemotron embedding and reranking retrieval recipes using the current checkout.

Plan, configure, and chain Nemotron model customization steps into single-step or multi-step pipelines for curation, translation, fine-tuning, RL alignment, benchmarking, checkpoint conversion, optimization, and evaluation.

Write effective unit tests with NUnit, covering standard and data-driven testing approaches.

Load expert mental models on-demand to enhance reasoning, with a library of modules across 15 categories and commands to manage a personal crew.

Loads expert mental models on-demand to enhance reasoning, with a library of modules and commands to manage them.

Rapid-iteration parameter tuning, diagnostics, and Custom-HLSL scratch-pad authoring for Niagara systems (VibeUE NiagaraService + NiagaraScratchPadService). System/emitter/parameter CRUD is owned by the engine NiagaraToolsets. Use when the user asks to tune emitter rapid-iteration params, compare/diagnose systems, or build scratch-pad/Custom HLSL modules. For emitter color/module work, load niagara-emitters.

xUnit.net testing framework with Fact, Theory, fixtures, DI, and mocking with Moq and NSubstitute. Covers .NET testing best practices. USE WHEN: user mentions "xUnit", ".NET testing", "Fact", "Theory", "InlineData", "Moq", "NSubstitute", "C# unit test" DO NOT USE FOR: NUnit - use `nunit`, Vitest - use `vitest`, Jest - use `jest`, Playwright - use `playwright`

Get best practices for NUnit unit testing, including data-driven tests

Storage management for Zephyr RTOS. Covers Non-Volatile Storage (NVS) for persistent settings, flash partition management in Devicetree, and runtime flash layout access. Trigger when implementing persistent data storage, managing flash wear leveling, or configuring device partitions.

Nuxt 3 patterns including Nitro server, auto-imports, modules, hybrid rendering, and full-stack development.

Builds AWS Nitro Enclave-based confidential computing environments with cryptographic attestation, KMS policy integration, and secure vsock communication for processing sensitive data.

Create, review, debug, test, or reproduce Python Jupyter notebooks by inspecting format, executing cells top-to-bottom in a clean kernel, and verifying outputs.

Develop Nuxt 3 full-stack Vue applications with SSR, file-based routing, auto-imports, data fetching, and deployment guidance.

Neblio REST API Suite API skill. Use when working with Neblio REST API Suite for ntp1, ins, testnet. Covers 50 endpoints.

RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.

Scaffolds a Nuxt 3 full-stack project with Vue 3, Pinia, Tailwind, Prisma, and Zod, including setup steps and best practices.

NUnit testing framework with TestCase, SetUp/TearDown, assertions, and parameterized tests for .NET applications. USE WHEN: user mentions "NUnit", "TestCase", "TestFixture", "NUnit assertions", "NUnit parameterized tests", ".NET NUnit" DO NOT USE FOR: xUnit - use `xunit`, MSTest, JavaScript testing frameworks

You are an expert in Nuxt 3, the full-stack Vue framework with server-side rendering, auto-imports, file-based routing, API routes powered by Nitro, and 200+ modules. You help developers build production Vue applications with hybrid rendering (SSR/SSG/SPA per route), server components, middleware, state management with useState, data fetching with useFetch/useAsyncData, and deployment to 20+ platforms.

Nemotron-4 340B Technical Report

Battle-hardened NFT developer specializing in ERC-721/1155 implementations, gas-optimized minting, reveal mechanics, and marketplace integration. Has launched 50+ collections from stealth 1/1s to 10k PFP drops.Use when "build nft contract, mint function, erc721 implementation, erc1155 implementation, nft reveal, allowlist mint, dutch auction, lazy mint, on-chain metadata, royalty enforcement, operator filter, batch mint gas, token uri, soulbound token, nft, erc721, erc1155, erc721a, solidity, smart-contracts, opensea, blur, metadata, ipfs, arweave, royalties, minting, reveal, allowlist" mentioned.

Niagara emitter color/curve authoring (tint, hue-shift, ColorFromCurve keys), rapid-iteration parameter tuning, and Custom-HLSL scratch-pad authoring (NiagaraEmitterService + NiagaraScratchPadService). Module/renderer CRUD is owned by the engine NiagaraToolsets. Use when the user asks to recolor or hue-shift particles, edit color curves, tune emitter params, or build a scratch-pad/Custom HLSL module. For system-level lifecycle, load niagara-systems.

GPU-accelerated data curation for LLM training. Supports text/image/video/audio. Features fuzzy deduplication (16× faster), quality filtering (30+ heuristics), semantic deduplication, PII redaction, NSFW detection. Scales across GPUs with RAPIDS. Use for preparing high-quality training datasets, cleaning web data, or deduplicating large corpora.

Reference for test filter syntax across VSTest and MTP platforms, covering MSTest, NUnit, xUnit v3, and TUnit frameworks with examples and translation guidance.

Train, evaluate, export, prune, and run inference for PointPillars 3D object detection models from LiDAR point clouds using NVIDIA TAO.

Create, scaffold, and edit Jupyter notebooks for experiments, exploratory analysis, or tutorials using bundled templates and a helper script.

Train, evaluate, export, quantize, and run inference for a Deformable DETR 2D object detection model using TAO, with deformable attention for efficient multi-scale feature processing.

Configure and use UnoCSS, an instant atomic CSS engine with presets, rules, shortcuts, and integrations for Vite and Nuxt.

Pattern for separating repository code from user data and notebooks. Trigger: organizing scientific pipelines, separating code from data

灶门祢豆子（少年漫）认知与表达框架（压缩蒸馏）：竹筒萌点、鬼化反差、兄妹羁绊 触发：鬼灭之刃 等。虚构