'porting' 검색 결과

Create and manage Arize datasets for evaluation and experiments using the ax CLI. Import records from files, append examples, inspect dataset versions, and export a chosen version for offline analysis, with checks for field consistency and export completeness.

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• Creating evaluation datasets from files
• Adding examples to an existing test set
• Inspecting dataset metadata and versions

Create and analyze AI model evaluation experiments in Arize using the ax CLI, a command-line tool. Collect real model outputs, export results, compare evaluation scores, and identify examples where a new model performs worse.

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• Comparing models on the same evaluation dataset
• Finding examples that perform worse after a model change
• Exporting experiment results for further analysis

Add or verify model support in SGLang's Rust processor so chat requests produce the same prompt text and token IDs as Python. Use reference-generated test cases to find differences in tools, reasoning settings, conversation history, and errors.

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• Adding model support to sglang-processor
• Porting model rendering from sgl-router
• Rechecking prompt behavior after a Dynamo update

Detect attacks that misuse legitimate Windows utilities such as certutil and mshta. Analyze process logs, command arguments, and parent-child relationships with Sigma detection rules, then report suspicious events with severity scores and supporting event details.

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• Investigating suspicious use of built-in Windows utilities
• Creating Sigma rules for unusual command arguments
• Finding Office apps that launch unexpected system utilities

Examine recorded calls and voicemails for signs of AI-generated speech. Extract acoustic features, classify samples with machine learning, and prepare reports with confidence scores and sound visualizations to support voice impersonation investigations.

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• Investigating calls impersonating executives
• Checking suspicious voicemails
• Comparing suspect recordings with genuine voice samples

Plan authorized voice phishing assessments to evaluate how employees verify callers and report suspicious calls. Organize approved scenarios, record assessment outcomes, and summarize disclosure, verification, and reporting rates to review security awareness training.

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• Planning an authorized voice phishing assessment
• Evaluating caller verification and security reporting
• Reviewing the effectiveness of security awareness training

Set up repeatable security tests for LLM apps with Promptfoo and DeepTeam. Connect them to automated build pipelines, detect renewed vulnerabilities to malicious instructions or data leakage, and compare results across model or prompt changes.

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• Running automated attack tests on every code change
• Blocking merges when security tests fail
• Comparing security across model or prompt versions

Plan authorized spearphishing simulations, personalized phishing tests aimed at specific people. Prepare scenarios and email infrastructure, track delivery and participant responses, and document findings to assess email security controls and improve security awareness.

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• Designing authorized phishing simulations for specific personnel
• Preparing test email delivery infrastructure
• Measuring delivery, opens, clicks, and reporting behavior

Build dashboards and reports for security operations teams using incident and alert data. Track detection and resolution times, false alarms, analyst workload, and detection coverage to assess operational trends and the effects of improvement initiatives.

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• Preparing monthly or quarterly security operations reports
• Reviewing analyst workload and shift staffing
• Comparing performance before and after tool adoption

Build incident response dashboards that bring affected systems, containment progress, indicators of compromise, and response timelines into one view. Help security teams coordinate active incidents and prepare operational reports and executive briefings.

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• Coordinating an active security incident
• Tracking affected systems and containment
• Reviewing response timelines after an incident

Map threat groups’ documented attack techniques in MITRE ATT&CK Navigator. Creates visual layers and heatmaps, compares groups, and highlights techniques missing from existing detection coverage to support security reporting and decisions about detection priorities.

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• Visualizing a threat group's attack techniques
• Comparing techniques shared by multiple threat groups
• Finding gaps in existing detection coverage

Manage multiple AI agents through the AI Maestro command-line tool. Create agents, inspect their status, pause and resume work, rename them, export or import configurations, and manage plugins from one interface.

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• Creating an agent for a specific project
• Checking agent status and assigned tasks
• Hibernating agents and resuming them later

Import text, files, URLs, repositories, and database content into cognee memory. This skill explains input handling, storage organization, extraction options, and cost estimates, while helping diagnose unsupported arguments and document update errors.

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• Importing documents, URLs, or database content
• Organizing stored information by project or topic
• Estimating tokens and cost before importing

Query documents and conversations stored in cognee to retrieve answers, supporting passages, or context for an AI model. This skill guides search method selection, source filtering, result interpretation, and troubleshooting empty or unexpected results.

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• Searching selected datasets or conversation sessions
• Retrieving supporting passages or model context
• Choosing a search method for a question

Export data from Google Sheets as CSV for local backups or further processing. The recipe covers checking spreadsheet details, exporting through Google Drive, and reading a specified sheet range directly in CSV format.

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• Keeping a local CSV backup of spreadsheet data
• Exporting spreadsheet data for further processing
• Reading a selected sheet range as CSV

Build a workflow for importing large collections of audio, email, documents, or chats into knowledge pages. Test varied samples first, track progress in a persistent JSON file, and verify outputs before marking work complete.

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• Importing a large email export into knowledge pages
• Converting document collections into linked pages
• Resuming imports that span multiple sessions

Populate a new GBrain knowledge base by importing notes, contacts, calendars, email, and other archives in a practical order. Connect people and companies across sources, filter low-value content, and resume interrupted imports from saved progress.

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• Choosing what to import after setting up GBrain
• Importing existing Markdown notes or an Obsidian vault
• Connecting contacts with meeting and email history

Turn sales call transcripts or notes into a customer follow-up draft, an internal team summary, and proposed customer record updates. Capture decisions, concerns, and commitments, with source references supporting the suggested changes.

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• Drafting a customer follow-up after a sales call
• Preparing a call summary for the internal team
• Listing objections and commitments from both sides

Audit CRM deals for missing fields, outdated dates, inactive records, and mismatches between sales stages and supporting evidence. Receive a checklist of issues and suggested fixes, using connected CRM data or an uploaded pipeline export.

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• Finding missing amounts and overdue close dates
• Reviewing deals with stale next steps or little activity
• Checking whether sales stages match supporting evidence

Plan team structure and hiring by defining needed roles, headcount, timing, and costs. Produce text-based org charts and prioritized hiring roadmaps, and identify structural risks such as excessive management overhead or dependence on one person.

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• Plan required roles, headcount, and hiring dates
• Review reporting lines and team boundaries
• Set priorities and sequence upcoming hires

Prepare month-end journal entries with balanced debits and credits, calculation support, and source references. Covers accrued expenses, prepaid costs, depreciation, payroll, and revenue recognition, with review checklists to help identify errors before approval and posting.

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• Prepare accrual entries for uninvoiced goods or services
• Calculate prepaid expense allocation and depreciation entries
• Organize payroll accruals and revenue recognition entries

Prepare SOX 404 internal control testing, including sample selection, evidence requirements, and audit workpapers. Organize findings about controls over financial reporting, assess deficiencies, and outline remediation plans for review by qualified financial professionals.

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• Prepare workpapers for internal control testing
• Choose audit samples based on control frequency and risk
• Organize control deficiencies and remediation plans

Prepare journal entries for month-end accruals, depreciation, prepaid expenses, payroll, and revenue recognition. It produces balanced debit and credit lines, supporting calculations, review flags, and posting instructions, with prior-period comparisons when the data is available.

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• Preparing month-end payable and payroll accruals
• Calculating depreciation and prepaid expense entries
• Preparing revenue recognition and deferred revenue adjustments

Develop and review FastGPT data migration tasks for automatic system upgrades. Define safe reruns, resume points, progress reporting, and failure handling, while checking task order and whether upgrades must block application startup.

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• Adding a data migration to an automatic upgrade
• Designing batch processing that resumes after interruption
• Reviewing startup blocking and failure policies