'optimization' 검색 결과

DSPy로 질문 응답과 문서 검색을 결합한 AI 처리를 만듭니다. 입출력을 정의한 구성 요소를 조합하고 학습 예시와 평가 지표로 프롬프트를 자동 조정합니다.

• 문서 검색을 결합한 질문 응답 만들기
• 학습 예시로 프롬프트 조정하기
• 텍스트에서 구조화된 데이터 추출하기

긴 입력을 다루는 Transformer의 학습과 추론에 Flash Attention을 적용해 속도와 GPU 메모리 사용량을 개선합니다. 설치부터 성능 측정과 출력 비교까지 안내합니다.

• 긴 입력을 사용하는 학습 속도 개선
• 긴 텍스트 추론의 메모리 사용량 절감
• 처리 속도와 모델 출력 비교

코드 성능 측정과 벤치마크로 느린 처리와 메모리 부담을 조사합니다. 같은 조건에서 비교할 수 있는 기록을 남기며 측정 결과에 따라 최적화를 진행합니다.

• 느린 처리의 원인을 조사할 때
• 변경 전후의 성능을 비교할 때
• 메모리 부담이 클 때 성능을 측정할 때

Claude Flow에서 여러 에이전트의 처리, 통신, 메모리 지연 원인을 분석하고 성능 보고서와 개선안을 만듭니다. 이전 실행 비교와 자동 최적화도 지원합니다.

• 여러 에이전트의 지연 원인 조사
• 변경 전후의 성능 비교
• 주간 성능 보고서 작성

Write, review, and refactor React and Next.js code using performance guidelines from Vercel. Prioritized rules help identify sequential data requests, oversized JavaScript bundles, unnecessary re-renders, and other opportunities to improve loading and responsiveness.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing React components for performance issues
• Improving data fetching in Next.js pages
• Reducing JavaScript bundle size

Design popups, banners, and slide-in messages for email signups or purchases. Get copy, display timing, audience rules, frequency limits, mobile guidance, and test ideas, with attention to easy dismissal and accessible interaction.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design a newsletter signup popup for a blog
• Plan a discount offer for visitors about to leave
• Review mobile popup layout and dismissal

Create and prepare marketing images for blogs, social posts, product showcases, and banners. Choose suitable generation or design tools, plan prompts and layouts, and optimize image dimensions, formats, and file sizes for web use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating blog headers and social sharing previews
• Preparing social graphics and profile banners
• Building product mockups from real screenshots

Plan and review paid advertising across Google Ads, Meta, LinkedIn, and other platforms. Organize audiences, budgets, and bidding, then assess results using customer acquisition costs and sales data while separating evidence, hypotheses, and missing information.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose advertising platforms and budget allocations
• Review campaign results and decide next steps
• Find wasted spend in search advertising

Audit App Store or Google Play listings across six areas, including text, visuals, and reviews. Get a weighted score, specific copy and image recommendations, optional competitor comparisons, and prioritized changes tailored to the store and brand maturity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an app listing from its store URL
• Improving app titles and descriptions
• Reworking screenshots and preview videos

Build and optimize quantum circuits with PennyLane, including models that combine quantum circuits with PyTorch or JAX. Explore molecular energy estimation and optimization problems, validate values and gradients in simulation, and prepare tested circuits for provider plugins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check quantum circuit values and gradients in simulation
• Train hybrid quantum and PyTorch or JAX models
• Estimate molecular energies with VQE

Write, review, or refactor React and Next.js code using prioritized performance guidelines. Address sequential data requests, large bundles of browser code, server work, and unnecessary rendering, with explanations and code examples for each rule.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Writing React components with performance in mind
• Reviewing Next.js data fetching
• Reducing browser code size and loading time

Analyze AWS spending by service, region, and resource tags to find unused resources and oversized configurations. Get specific cost reduction recommendations, estimated savings, and guidance for budgets and ongoing cost monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare monthly AWS spending by service
• Find unused storage and idle instances
• Estimate savings from configuration changes

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

Improve mobile app listings on Apple App Store and Google Play Store through keyword research, competitor and review analysis, and listing revisions. Produce metadata suggestions, visual asset guidance, A/B test plans, and launch checklists.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Researching app keywords and competitors
• Revising store titles and descriptions
• Extracting complaints and feature requests from reviews

Coordinate specialist agents to investigate and improve application performance across databases, backend services, frontend code, and delivery infrastructure. Establish baseline measurements, address observed bottlenecks, validate changes with load tests, and set up monitoring to detect future slowdowns.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding bottlenecks across an entire application
• Coordinating database, backend, and frontend improvements
• Validating performance changes with load tests

Plan AI features for products, covering language model integration, RAG architecture that retrieves information for answers, prompt design, user experiences people can trust, and cost optimization. Use it to guide development decisions for production use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan language model integration in a product
• Consider RAG architecture for reference-based answers
• Review prompt design and AI user experience

Choose a model training method and configuration from paired response preferences or individual positive and negative ratings. Covers DPO, ORPO, KTO, and SimPO, including pair construction, repeated training rounds, and troubleshooting learning settings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose a training method for paired response preferences
• Select a method for individual positive and negative ratings
• Review learning settings when DPO training loses general capability

Investigate slow SQL using execution plans, which show how a database processes a query. Review indexes, filters, joins, and maintenance practices through PostgreSQL examples to identify bottlenecks and plan changes to queries or database structure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow SQL queries
• Reviewing index choices and column order
• Reading EXPLAIN execution plans

Improve slow Apache Spark jobs by reviewing data partitions, caching, memory settings, and shuffles, which move data between workers. Use the guidance to investigate bottlenecks and tune pipelines for larger datasets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow Spark jobs
• Tuning memory and executor settings
• Reducing data skew and shuffle traffic

Review DAX formulas, the expressions used for calculations in Power BI, and propose clearer, more maintainable alternatives. Identify repeated calculations, costly filtering, and error-handling issues, then explain changes and recommend ways to test them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing slow calculations in Power BI reports
• Making complex DAX formulas easier to read
• Improving division and blank-value handling

Improve LLM prompts using Arize production traces, evaluation results, and human feedback. Extract current instructions, identify recurring failures, revise the prompt, and compare experiments to measure changes in output quality and catch regressions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Improve a prompt using failed production traces
• Fix responses that use the wrong output format
• Review unsupported answers in retrieval-based responses

Analyze AWS infrastructure definitions, deployed resources, usage metrics, and actual costs to identify savings opportunities. Rank recommendations by savings, risk, and effort, then create individual GitHub issues and a coordinating issue after approval.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify underused AWS resources
• Estimate monthly savings from configuration changes
• Prioritize cost reductions by risk and implementation effort

Measure denoising latency in SGLang diffusion models and identify slow operations with profiler traces. Compare performance and output quality on the same GPUs, check existing optimizations, and gather evidence before starting low-level kernel work.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Measuring diffusion denoising latency
• Ranking slow operations from profiler traces
• Checking whether existing optimizations address a bottleneck

Improve PostgreSQL performance through a staged workflow covering slow query analysis, indexes that speed up data access, query rewrites, configuration tuning, routine maintenance, and monitoring for production databases.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating slow PostgreSQL queries
• Reviewing database indexes
• Tuning database configuration