Results for “e-e-a-t”

Train, evaluate, export, and run inference for pose classification models using ST-GCN on skeleton keypoint sequences.

Searches a local cache of Windows WinMD metadata to find the right Windows API for any capability and retrieve full type details including methods, properties, events, and enumeration values.

Submits TAO container jobs as single-pod Kubernetes Jobs with NVIDIA GPU scheduling on EKS, GKE, AKS, or on-prem clusters.

Build and scale partner ecosystems that drive revenue and platform adoption, covering program design, tiering, co-marketing, build-vs-partner decisions, and structured deployment.

Bootstraps AGENTS.md and CLAUDE.md for AEM 6.5 LTS projects, tailored to project structure and detected add-ons.

Guides developers through Google Ads API quickstart: credential setup, choosing from 6 client libraries/REST, configuring environments, and running a 'retrieve campaigns' script. Troubleshoots common setup errors.

Extracts key definitions, points, keywords, diagrams, exam-ready sentences, and practice questions from provided study material and syllabus.

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.

Generate Excalidraw diagrams from natural language descriptions, supporting flowcharts, relationship diagrams, mind maps, architecture diagrams, and more. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.

Optimize Entity Framework Core queries by fixing N+1 problems, choosing correct tracking modes, using compiled queries, and avoiding common performance traps.

Score a clinical ASR manifest against a chosen NIM, produce a five-section KER leaderboard, and route the user via a post-eval decision tree.

Audit and improve GitHub Codespaces efficiency by analyzing devcontainer configurations, machine sizing, prebuild strategy, and idle timeout settings.

Train, evaluate, distill, quantize, export, and run inference for PyTorch-based TAO image classification models with support for multiple backbones.

Searches the aem.live documentation for information on AEM Edge Delivery Services features, then fetches and reads full page content for detailed guidance.

Guides agents through the full lifecycle of NeMo-RL experiments: understanding recipes, launching reproducible runs, analyzing results, and preserving human oversight with git and TSV logs.

Refines task understanding through iterative questioning before executing, using the Joyride extension for human input.

Design, operate, and troubleshoot OCI services including OKE, IoT, Functions, and Enterprise AI with OCI Generative AI models, agents, RAG, and cost estimation.

Generate comprehensive technical documentation for developers taking over an AEM Edge Delivery Services project, covering architecture, design system, blocks, and configuration.

Surveys available blocks from a local AEM Edge Delivery Services project and Block Collection to understand the block palette available for authoring, returning a block inventory with purposes to inform content modeling decisions.

Trains, evaluates, exports, quantizes, and runs inference for a Mask Grounding DINO model for open-set instance segmentation guided by text prompts.

Extracts selected metadata from a DICOM file and flags standard-tag PHI presence. Not for anonymization or clinical use.

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates with evals.

Generate React Spectrum UI components for Adobe Experience Cloud Shell SPAs and AEM UI Extensions, including pages, forms, data tables, dialogs, and navigation.

Generates operations-focused guidance for Google Cloud workloads based on the Operational Excellence pillar of the Well-Architected Framework, including assessment questions and validation checklists.

Upgrade .NET 8 projects to .NET 9 by updating target frameworks, resolving breaking changes, and fixing build errors.

Migrate .NET 9 projects to .NET 10 by updating target frameworks, resolving breaking changes, and fixing build errors.

Analyzes documents and produces a Word document with inline highlighted screenshots from the source material, enabling visual verification of every factual claim.

Translates Copilot CLI prompts, errors, and technical output into plain English with color-coded risk indicators for non-technical users.

Generates a polished, leadership-ready performance briefing with KPI tiles, executive narrative bullets, and a driver analysis — all as a print-ready HTML document.

Drive implementation in the smallest possible meaningful increments, pausing for feedback after each step to keep work reviewable and easy to course-correct.

Provides guidance for property-based testing across multiple languages and smart contracts, helping detect patterns where PBT offers stronger coverage than example-based tests.

Generate JSON-LD structured data for AEM Edge Delivery Services pages by analyzing page content and metadata to determine schema.org types, extract properties, and produce validated snippets for head.html or scripts.js.

Manage Weights & Biases ML experiment tracking instances on Azure using the .NET SDK. Create, configure, list, update, and delete W&B instances with marketplace integration and SSO.

Sets up an isolated Python environment for SageMaker and AWS work, pinning Python version and installing current boto3/awscli to avoid dependency conflicts and stale SDKs.

Coverage-guided fuzzing for Ruby code and C extensions using libFuzzer and sanitizers.

Get best practices for Entity Framework Core, covering data context design, entity design, performance, migrations, querying, change tracking, security, and testing.