'accuracy' 검색 결과

Track machine learning experiments with Trackio by recording training measurements, viewing live dashboards, and flagging diagnostic events. Retrieve metrics and alerts through command-line queries, with JSON output for automated monitoring and experiment review.

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• Recording training loss and accuracy
• Flagging loss spikes or stalled training
• Monitoring cloud training through a Space dashboard

Fine-tune vision models on custom images using Hugging Face Jobs cloud GPUs. Covers object detection, image classification, and segmentation—identifying image regions—with dataset validation, hardware selection, cost estimates, monitoring, and saving trained models to the Hub.

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• Train an object detector on custom images
• Fine-tune an image classifier
• Adapt SAM/SAM2 to custom image masks

Guides a Worktrunk release from testing and change review to version updates, release notes, tagging, and publication checks. Includes reviews of potential data loss, documentation accuracy, and contributor credits before the release is published.

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• Preparing a new Worktrunk release
• Writing release notes from code changes
• Reviewing data-loss risks before release

Create clear, accurate charts for dashboards, data exploration, and reports. Choose chart types that fit the message, refine labels and scales, use accessible colors, and add context and annotations to help readers understand the findings.

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• Designing a sales dashboard for executives
• Exploring patterns in customer behavior
• Creating charts for an annual report

Write and edit READMEs, guides, and other documentation using the code as evidence. Improve structure, wording, and terminology while checking related pages and links against the project's contribution process and documentation style guide.

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• Writing a guide for an existing feature
• Improving a README's structure and wording
• Updating documentation to match the implementation

Make 3D canvas output sharper on Retina and other high-density displays. Coordinate rendering and post-processing resolution, preserve pointer accuracy, and verify fixed 200% rendering or automatic scaling with measured performance and explicit fallbacks.

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• Fix blurry 3D canvas output on Retina displays
• Implement a fixed 200% rendering option
• Keep post-processing and pointer coordinates aligned

Check academic references for existence, accurate publication details, and support for the claims being cited. This guide explains how to verify sources, obtain bibliography entries, and flag references that cannot be confirmed.

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• Checking references suggested by AI
• Verifying authors, titles, and publication years
• Checking whether a paper supports a cited claim

Find academic papers through Google Scholar and PubMed, retrieve publication details from identifiers, and build BibTeX reference files. Check author and publication information, detect duplicates, and standardize formatting before using references in a manuscript.

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• Finding papers on a research topic
• Converting DOI lists into BibTeX references
• Checking reference details before manuscript submission

Check academic references for existence, accurate publication details, and support for cited claims. Provides a writing-time verification workflow using WebSearch and Google Scholar, including BibTeX retrieval and clear handling of references that cannot be verified.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking references suggested by AI
• Matching authors, titles, years, and publication venues
• Confirming that a paper supports a cited claim

Turn a recurring workflow into an agent skill, or improve an existing one. Draft instructions, compare test outputs against a baseline, review quality and resource usage, and refine the description that determines when the skill is invoked.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Turning a recurring workflow into a new skill
• Improving an existing skill using test feedback
• Comparing skill quality, execution time, and token usage

Guide economic time series analysis from initial plots to forecasting. Use Python, R, and Stata examples to check whether statistical properties remain stable over time, choose models, diagnose errors, and examine relationships between multiple series.

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• Checking trends and stationarity in economic data
• Building ARIMA forecasts and evaluating accuracy
• Examining relationships between multiple time series

Search for academic papers, retrieve publication details from identifiers such as DOIs, and create BibTeX reference records. Check existing bibliographies for missing information, duplicate entries, invalid identifiers, and formatting problems before using them in research writing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find papers on Google Scholar or PubMed
• Convert paper identifiers into BibTeX references
• Fill missing publication details

Train, deploy, and run predictions with neural networks using Flow Nexus and E2B sandboxes, isolated computing environments. Use existing model templates, distribute training across multiple environments, and check training progress and model performance.

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• Train a model to classify images
• Analyze text sentiment with an existing template
• Train an LSTM model for time series forecasting

Check code and agent outputs, track reliability scores, and roll back changes that fail a chosen threshold. Includes quality reports, live monitoring, and integration with automated build and deployment workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking code produced by AI agents
• Rolling back changes that fail verification
• Tracking quality trends over time

Turn a rough request into a structured AI prompt with a clear goal, output format, and constraints. For complex work, add smaller tasks, separate creator and reviewer roles, and explicit checks for accuracy and uncertainty.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Refining a vague AI request
• Designing prompts for API documentation
• Adding verification steps to code generation

Check specific documentation pages against source code, one factual claim at a time. Receive verdicts showing supported, partly supported, contradicted, or unsupported statements, with code file and line references and suggested corrections.

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• Fact-check a specific documentation page
• Find inaccurate claims within a paragraph
• Verify documentation changes against implementation

Find academic papers, retrieve publication details, and build BibTeX reference files for scholarly writing. Check identifiers, missing information, duplicate entries, and mismatches between manuscript citations and the bibliography, with tools for formatting and validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding papers for a manuscript or thesis
• Converting paper identifiers into BibTeX entries
• Cleaning duplicate or incomplete references

Audit XML sitemaps by checking their structure and listed URLs against actual page conditions. Find errors, redirects, pages excluded from indexing, missing eligible pages, and inaccurate modification dates to identify sitemap problems affecting indexing.

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• Investigating sitemap errors in Search Console
• Finding URLs that should be removed from a sitemap
• Checking for indexable pages missing from a sitemap

Choose methods for differential equations with conditions specified at boundaries. The skill guides problem classification, shooting methods, finite differences, numerical solvers, and eigenvalue problems, with command examples for exploring solutions and checking numerical accuracy.

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• Choose a method for a two-point boundary value problem
• Build finite difference equations
• Review Sturm-Liouville eigenvalue problems

Edit large code files through the Morph Apply API without reading the entire file first. Provide a change description and a code snippet with placement markers to add error handling, insert logging, or apply several related changes together.

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• Editing large files without reading their full contents
• Applying several related changes to one file
• Adding error handling or debug logging

Check code and agent outputs, track reliability scores, and roll back changes that fail a chosen threshold. Includes quality reports, live monitoring, and integration with automated build and deployment workflows.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking code produced by AI agents
• Rolling back changes that fail verification
• Tracking quality trends over time

Create scientific diagrams from written descriptions using Nano Banana Pro. Gemini 3 Pro reviews accuracy, labels, and layout, triggering regeneration when scores fall below the chosen document threshold, up to the iteration limit.

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• Creating neural network architecture diagrams for papers
• Illustrating biological signaling pathways
• Preparing study participant flowcharts

Develop healthcare prediction models from electronic health records and physiological signals. Use PyHealth to prepare data, train models for tasks such as mortality or readmission prediction, and evaluate accuracy, fairness, and how predictions can be explained.

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• Building mortality prediction models with MIMIC-IV
• Training and evaluating hospital readmission models
• Developing medication recommendation models with SafeDrug

Perform arithmetic, algebra, calculus, matrix operations, number theory, and statistics with SymPy, a symbolic mathematics library. Return exact expressions, numerical values, and LaTeX notation for checking calculations or using results in other work.

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• Calculate exact fractions and roots
• Simplify expressions and solve equations
• Check derivatives, integrals, and limits