'responses' 검색 결과

Guide language model training with TRL, from learning to follow instructions to matching human preferences. Covers method selection, training data, reward models that score responses, evaluation, and adjustments for memory limits or unstable training.

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• Train a model on instruction and response examples
• Align responses using preferred and rejected answer pairs
• Build a training pipeline using human feedback

Explore training workflows that reduce harmful model responses using a written set of principles. The skill covers self-critique, revised training examples, and RLAIF, reinforcement learning from AI feedback, with implementation examples and hardware guidance.

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• Designing principles for model safety training
• Creating training examples through self-critique and revision
• Planning reinforcement learning with AI-rated responses

Build safety checks for LLM prompts and responses using Meta's LlamaGuard moderation model. Classify potentially harmful content, block flagged messages, serve checks through an API, and integrate them with NeMo Guardrails.

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• Checking prompts before sending them to an LLM
• Filtering responses before displaying them
• Building a moderation API

Design tools that AI agents can understand and call correctly. Covers JSON Schema, a format for defining inputs, along with clear descriptions, input examples, validation, and error responses that help agents recover from failures.

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• Designing inputs for an AI agent tool
• Improving tool descriptions and input examples
• Reviewing validation and error responses

Build Storybook page stories for SigNoz by mapping API requests, display states, and URL parameters. Use msw mock responses, which simulate API replies, and controls to inspect loading, errors, permissions, and other page states.

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• Creating Storybook stories for SigNoz pages
• Switching between loading, empty, and error states
• Checking how permissions affect buttons and controls

Plan and coordinate events across Google services. Create calendar entries with locations and attendees, email invitations, upload materials to Drive, share updates in Chat, and record attendance responses and logistical details in Sheets.

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• Creating event schedules and inviting attendees
• Uploading and sharing event materials
• Announcing event updates in Chat

Process AI model responses through a specified Google Model Armor template before sending them to users. Supply response text directly, pipe output from another command, or provide a JSON request for outbound safety processing.

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• Check model responses before showing them to users
• Pipe model command output into safety processing
• Process response text with a specified template

Use Google Model Armor to filter user prompts and model responses for safety. The skill covers creating templates that define checks and discovering command parameters before making API calls through the gws command-line tool.

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• Check user prompts through a Model Armor template
• Check model responses through a Model Armor template
• Create a template for content safety checks

Ask AI questions, generate code, and summarize text through 9Router using OpenAI or Anthropic request formats. Receive responses incrementally with streaming, and use provider combinations that automatically try another provider when needed.

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• Ask an AI model questions through 9Router
• Generate code from written instructions
• Summarize text with a selected model

Assess incoming leads or rank a lead backlog by customer fit and buying intent. Receive evidence-based priorities, routing recommendations, and suggested first responses, with existing account ownership checked when CRM records are available.

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• Prioritize leads from incoming inquiries
• Rank an uploaded lead backlog
• Check existing account ownership before routing a lead

Support local search work for businesses that visit customers, such as repair and cleaning services. Audit Google Business Profile, draft neighborhood pages, compare business contact details across directories, and prepare structured business data and review replies.

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• Audit Google Business Profile and prioritize fixes
• Draft service pages for individual neighborhoods
• Check business names, addresses, and phone numbers across directories

Creates test starters for React and Next.js applications and analyzes coverage reports to find untested code. Supports unit, integration, and browser-based tests, simulated API responses, reusable test data, and test runner configuration.

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• Generating test starters for React components
• Finding untested code before a release
• Creating browser tests from Next.js routes

Assess an industry's profit potential through Porter's Five Forces: rivalry, supplier and buyer bargaining power, substitutes, and new entrants. Rate each force, identify the most important pressures, and develop strategic responses and competitive positioning options.

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• Assessing a market before entering it
• Understanding competitive pressures on profitability
• Reviewing dependence on suppliers or major customers

Assess the external conditions affecting a business across political, economic, social, technological, legal, and environmental factors. Rank their impact and likelihood, then outline strategic responses, indicators to monitor, and contingency plans for market entry or business planning.

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• Assessing external risks before entering a market
• Reviewing external conditions for strategic planning
• Finding opportunities in regulatory or technology changes

Turn survey responses, interviews, and other research data into three distinct user personas. Each profile explains the outcome users seek, their main difficulties, desired benefits, an unexpected behavioral insight, and how well the product meets their needs.

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• Creating three personas from survey responses
• Grouping interview findings by user goals and behavior
• Comparing user needs to guide product decisions

Reproduce model connection failures and interrupted responses in the desktop app using a local fault server and test providers. Check error messages and retry behavior for refused connections, DNS failures, HTTP errors, stalled requests, and cut streams.

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• Checking error messages for model connection failures
• Testing responses to rate limits and server errors
• Reproducing stalled requests and interrupted replies

Build AI applications in Python with Genkit, including conversational agents, generation workflows, streaming responses, and tool use. The skill also guides setup and debugging through traces, recorded details of model inputs, outputs, and actions.

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• Build a chatbot that keeps conversation history
• Implement streaming responses and tool calls
• Investigate Genkit import and API errors

Helps build AI features in Go with Genkit, including text generation, structured data output, streaming, tool calls, and conversational agents. Guides HTTP serving and trace inspection to check model responses and tool execution.

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• Adding text generation or structured output to a Go app
• Building a chatbot that retains conversation state
• Connecting model responses to tool calls

Build conversations and workflows with the Gemini Interactions API on Gemini Enterprise Agent Platform. Follow Python or JavaScript examples for server-stored conversation history, streaming responses, structured JSON output, function calls, and background agent tasks.

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• Building chats that retain conversation context
• Displaying responses as they stream
• Returning JSON in a specified format

Prepare draft responses to security questionnaires received in Gmail using approved answers and policies. Fill a copy in the original spreadsheet layout, flag uncertain questions, and save a reply draft for security review.

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• Preparing a first draft of a prospect's security questionnaire
• Filling SIG, CAIQ, or custom spreadsheets with approved answers
• Identifying questions that need security team input

Use live DataForSEO data to research search results, keyword demand, backlinks, and competitors. Compare findings in tables, inspect page issues, and track how brands or websites are mentioned and cited in AI responses.

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• Compare keyword search volume, difficulty, and intent
• Research competitors' rankings and backlink sources
• Inspect page performance and technical issues

Helps write and review Nginx configurations for websites and APIs. Covers forwarding requests to application servers, distributing traffic, HTTPS settings, caching, compression, and logs to support performance tuning and investigation of slow responses.

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• Forward API requests to application servers
• Distribute traffic and handle backend failures
• Review HTTPS settings and access restrictions

Design consistent API specifications with OpenAPI 3.0 and 3.1. Define requests, responses, authentication, and reusable data structures, then guide specification checks, documentation, and generation of client libraries or starter server code.

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• Define an API contract before implementation
• Standardize authentication and error responses
• Check API specifications in CI

Design systems that use language models to judge AI responses. Covers scoring criteria, comparisons between two answers, bias reduction, confidence calibration, and checks against human judgments to make automated quality assessments more consistent and traceable.

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• Compare responses from different models
• Run A/B tests for prompt changes
• Create shared scoring rubrics