'applications' 검색 결과

Build Python AI applications on Microsoft Foundry with azure-ai-projects. Provides examples for creating agents, connecting tools, managing conversations and project resources, and running evaluations through Foundry and OpenAI-compatible clients.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an agent that searches uploaded documents
• Implement conversation threads and response handling
• List model deployments and project connections

Build AWS applications that run without managing servers directly. Covers Lambda functions, APIs, DynamoDB storage, message-driven workflows with SQS/SNS, deployment through SAM/CDK, and reducing the delay when a function starts for the first time.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building an API with Lambda and API Gateway
• Developing an application backed by DynamoDB
• Designing event-driven workflows with SQS/SNS

Build Python applications that keep other tasks moving while waiting for network, database, or file operations. Guides the choice of asyncio patterns, with timeouts, cancellation, error handling, and testing for asynchronous code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build an asynchronous web API
• Fetch multiple web pages concurrently
• Develop a WebSocket server or chat system

Deploy container applications on AWS using ECS and Fargate, which runs containers without managing servers. Covers image publishing, task configuration, load balancing, automatic scaling, deployment updates, and troubleshooting failed or unhealthy containers.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploy Docker applications on Fargate
• Configure load balancing and automatic scaling
• Investigate failed tasks and health checks

Plan centralized audit logging for infrastructure and applications. Use configuration examples and checklists to record security events, define retention, assess tamper detection, and connect logs to SIEM platforms, systems that collect and analyze security information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Centralize login and permission-change records
• Add structured audit logs to applications
• Review retention and tamper-detection requirements

Turn a plain language app request into a project plan, technology choices, and coordinated development tasks. Use project templates to structure web, mobile, desktop, API, or command line applications, with agents handling different development responsibilities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a full-stack app from a plain language request
• Choose technologies and structure for a new project
• Coordinate agents across UI, API, and database work

Set up ArgoCD to keep Kubernetes deployments aligned with configuration stored in Git, an approach called GitOps. Follow guidance for multiple environments, automatic synchronization, deployment ordering, access permissions, and troubleshooting differences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up Kubernetes deployments driven by Git changes
• Manage staging and production configurations
• Configure synchronization order and pre-deployment jobs

Develop Angular v20+ applications using Signals for reactive state and Standalone Components. Supports gradual migration from NgModules, Zoneless configuration, server-side rendering, hydration, and performance optimization with development testing before production use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a new Angular v20+ application
• Implement reactive state with Signals
• Gradually migrate NgModules to Standalone Components

Integrate cryptocurrency exchanges into PHP applications with CCXT. Follow examples for market data, orders, authentication, and errors, with synchronous requests, ReactPHP asynchronous processing that avoids waiting on each request, and WebSocket connections for live updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Displaying cryptocurrency prices in a PHP web application
• Implementing order placement and cancellation in a trading bot
• Fetching market data asynchronously with ReactPHP

Integrate cryptocurrency exchanges into Go applications with CCXT. Follow examples for market data, order management, authentication, and error handling, using REST for individual requests and WebSocket streams to monitor prices, order books, balances, and orders.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Fetch exchange market data in a Go application
• Implement order placement and cancellation
• Monitor live prices and order books

Assess the security of LLM applications and AI agents by tracing inputs, retrieved content, tool calls, and outputs. Covers prompt injection, where content carries unwanted instructions, along with permission misuse, memory poisoning, and supply-chain risks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing chatbot resistance to prompt injection
• Auditing agent tool permissions and approval steps
• Checking retrieval access controls and memory poisoning

Build and debug asynchronous Rust applications with Tokio, a runtime for scheduling work while operations wait. Apply patterns for task management, channels, error handling, cancellation, and concurrency limits when developing network services and other concurrent systems.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build asynchronous network services
• Manage tasks and channel communication
• Design error handling and cancellation

Build concurrent Go applications with goroutines, lightweight execution units, and channels for communication. Apply patterns for worker pools, cancellation, synchronization, and orderly shutdown, and investigate race conditions when concurrent operations access shared data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Implement a worker pool for concurrent jobs
• Connect processing stages with channels
• Manage cancellation and orderly shutdown

Configure Prometheus to collect and store operational metrics from infrastructure and applications. Covers collection schedules, alert rules, automatic discovery of monitored services, and troubleshooting checks to help establish and maintain monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Setting up infrastructure and application monitoring
• Configuring metric collection intervals and retention
• Designing alert rules

Build AI applications that answer questions using retrieved documents. Covers vector databases, text embeddings that represent meaning as numbers, search strategies, and result reranking to connect language models with external knowledge.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building Q&A systems for internal documents
• Adding domain knowledge to chatbots
• Implementing natural language document search

Design and refine prompts for AI applications using examples, reusable templates, and structured outputs such as JSON. Test variations for accuracy, consistency, response time, and token usage to diagnose unreliable answers and formatting failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refine prompts that produce inconsistent answers
• Build reusable prompt templates with variables
• Design JSON outputs that follow a defined schema

Choose embedding models, which represent text as numerical vectors, for meaning-based search and RAG applications. Compare options for code, prose, and multilingual content, and plan document splitting, preprocessing, caching, and dimension reduction to improve retrieval quality.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing an embedding model for RAG
• Reviewing document chunk size and boundaries
• Planning code or specialist document search

Evaluate LLM applications using automated scores, human reviews, and model-based judging. Build repeatable checks to compare models or prompts, assess answer quality, and detect declines in performance before deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing models and prompts
• Checking quality after prompt changes
• Detecting performance declines before deployment

Modernize existing React applications through version upgrades and migration from class components to Hooks, functions for state and lifecycle behavior. Includes React 18 rendering APIs, grouped state updates, and features for prioritizing interface updates.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan an upgrade from React 16 through React 18
• Rewrite class components with Hooks
• Extract shared logic into custom Hooks

Set up and organize an Nx monorepo, a shared repository for multiple applications and libraries. Define dependency boundaries, configure build caching, and use affected commands to focus CI tasks on projects impacted by changes.

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• Setting up a new Nx workspace
• Defining dependencies between applications and libraries
• Running CI tasks only for affected projects

Generate Kubernetes YAML files that define how applications run, connect, receive configuration, and use persistent storage. Include resource limits, health checks, security settings, labels, and validation guidance for production-oriented deployments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating Deployment and Service manifests
• Separating configuration with ConfigMaps and Secrets
• Defining persistent storage for applications

Build Next.js applications with App Router patterns for page structure, data fetching, caching, and progressive page loading. Covers server and browser component responsibilities, route design, Server Actions, and migration from Pages Router.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a new application with App Router
• Migrate an application from Pages Router
• Add progressive loading for slow data sources

Design and build an OpenMAIC lesson series using a spiral curriculum: core ideas return with deeper explanations, new representations, and unfamiliar applications. It maps conceptual growth across lessons and checks that revisits add understanding.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Designing a Bruner-style spiral curriculum
• Moving from concrete examples to general models across lessons
• Revisiting concepts through unfamiliar applications and counterexamples

Build and run evaluations for AI applications using Phoenix. Start with observed failures, create checks in code or use a language model as a judge, run experiments, and validate automated judgments against human labels.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning observed failures into evaluation criteria
• Building code-based or language-model evaluators
• Evaluating retrieval and answer faithfulness in RAG