Results for “e-e-a-t”

Defines the high-level motion law for multi-scene videos, ensuring seamless transitions and continuous camera movement through vector rules, carriers, causal motion, and seam enforcement.

Train, evaluate, export, quantize, and run inference on Mask2Former models for panoptic, instance, and semantic segmentation using NVIDIA TAO.

Trains, evaluates, exports, prunes, quantizes, retrains, and runs inference for TAO OCRNet models for scene text recognition from cropped text-region images, supporting CTC and attention-based decoders.

Implement iterative evaluation and refinement loops for AI agent outputs, using self-critique, evaluator-optimizer patterns, and rubric-based scoring to improve quality.

Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness, providing detailed improvement recommendations with frameworks, testing methodologies, and educational content.

Run end-to-end calibration on the bundled sample dataset against a running AMC microservice to verify the stack works before processing real data.

Coordinate the end-to-end pipeline from CAD or source assets to SimReady USD assets, including conversion, material and physics assignment, validation, conformance, and optional packaging.

Automate real browsers from the terminal for navigation, form filling, screenshots, data extraction, and UI-flow debugging using a CLI wrapper around Playwright.

Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.

Plan and apply safe, reversible headless-mode changes on Jetson devices to reclaim memory from the GUI and non-essential daemons.

Train, evaluate, export, quantize, and run inference for a TAO OneFormer model that performs panoptic, instance, and semantic segmentation using task-conditioned queries.

Install, configure, and troubleshoot the Adobe AEM CLI (@adobe/aem-cli) for local Edge Delivery development, including dev server, import server, content sync, TLS, and proxy setup.

Retrieves real-time Azure retail pricing from the public Azure Retail Prices API and estimates Copilot Studio agent credit consumption.

Extract Jetson Linux BSP and sample-rootfs tarballs, run apply_binaries.sh with the correct GPU stack flag, and record the image metadata in the active target profile.

Architect and provision enterprise Azure infrastructure from workload descriptions, generating Bicep or Terraform for networking, identity, security, and multi-resource topologies aligned with the Well-Architected Framework.

Generates four audience-tailored onboarding guides in an onboarding/ folder — Contributor, Staff Engineer, Executive, and Product Manager. Use when the user wants onboarding documentation for a codebase.

Plan and execute enterprise sales cycles using MEDDICC qualification, mutual action plans, and stakeholder mapping to systematically close complex deals.

Projects external audit findings from SARIF static analysis results and weAudit annotation files onto Trailmark code graphs as annotations and subgraphs, enabling cross-referencing with pre-analysis data like blast radius and taint.

Create, edit, and analyze spreadsheet files (.xlsx, .xlsm, .csv, .tsv) with formulas, formatting, and financial modeling conventions.

Instrument browser/web apps with the Application Insights JavaScript SDK for Real User Monitoring (RUM), including page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and GenAI agent traces correlated to backend OpenTelemetry traces.

Extract content, metadata, and images from a webpage for import or migration to AEM Edge Delivery Services.

Onboard enterprise customers from contract to value realization using a four-phase framework that prevents churn and the Week 4 ghosting pattern.

Review code for AEM Edge Delivery Services projects, validating code quality, performance, accessibility, and adherence to EDS best practices during self-review or pull request review.

Executes a predefined implementation plan step by step, updating progress inline and running build or test commands.

Migrate Slack bots to Microsoft Teams, build dual-platform bots, and convert between Block Kit and Adaptive Cards using a routed expert system with 100+ micro-expert files.

Guides users through creating effective skills that extend AI coding agents with specialized knowledge, workflows, and tool integrations.

Create Earth2Studio diagnostic model wrappers for single-step data transformations, including simple derived diagnostics, packaged AutoModel diagnostics, and generative or diffusion diagnostics.

Generates a concise, executive-ready performance summary covering key metrics, trends, and what's driving movement, using Adobe Analytics data.

Integrate Azure OpenAI and OpenAI services in .NET applications for chat completions, embeddings, image generation, audio transcription, and assistants.

Create, build, and debug Android apps using the official Android CLI tool for project creation, SDK management, emulator control, and UI inspection.

Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Covers the complete object model, coordinate system, measurement units, export workflows, and best practices.

Search reference implementations and code examples from Adobe's Block Collection and community Block Party for AEM Edge Delivery blocks, plugins, and build tools.

Build real-time, bidirectional streaming applications with the Gemini Live API, covering WebSocket-based audio/video/text streaming, voice activity detection, function calling, session management, and ephemeral tokens.

Build automated evaluation pipelines for Python LLM applications using real LLM calls and structured test datasets.

Collaborates as a supportive, energetic builder focused on momentum, execution, and concrete deliverables in pair programming sessions.

Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages using EDS-specific domain knowledge, including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and INP with before/after projections.