'gpt' 검색 결과

Learn how GPT language models work by preparing text, training a small model, and generating samples. Covers CPU experiments, custom datasets, further training of pretrained GPT-2 models, and reproducing GPT-2 with multiple GPUs.

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• Train a small model on Shakespeare using a CPU
• Prepare custom text for model training
• Further train a pretrained GPT-2 model

Learn how GPT language models work by preparing text, training a small model, and generating samples. Covers CPU experiments, custom datasets, further training of pretrained GPT-2 models, and reproducing GPT-2 with multiple GPUs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Train a small model on Shakespeare using a CPU
• Prepare custom text for model training
• Further train a pretrained GPT-2 model

ChatGPT 안에서 조작하는 앱의 구상부터 React 위젯과 상태 공유 구현까지 안내합니다. 현재는 사용이 권장되지 않으며 후속 스킬로 전환하도록 안내합니다.

• ChatGPT 앱의 기능 정리
• 서버와 연동하는 화면 구현
• 화면 상태를 ChatGPT와 공유

Guides development of ChatGPT apps with interactive widgets using mcp-use and OpenAI Apps SDK, covering server tools, React interfaces, and shared state. This skill is deprecated and directs users to mcp-app-builder.

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• Plan a ChatGPT app with interactive widgets
• Implement MCP server tools and React widgets
• Manage widget state and context shared with ChatGPT

Run Customgpt operations through Rube MCP, which connects your agent to external tools. The skill searches for available actions, checks connection status, and follows current input requirements when executing supported tasks.

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• Explore available Customgpt operations
• Check the Customgpt connection before execution
• Retrieve further pages of operation results

Deploy FastGPT on your own server using its official installation script and Docker Compose, which runs its services together. Check service health and access, investigate deployment problems, and receive the access URL, initial login details, and next steps.

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• Setting up FastGPT on your own server
• Checking service health after deployment
• Investigating port conflicts or container startup failures

Run Customgpt operations through Rube MCP, which connects your agent to external tools. The skill searches for available actions, checks connection status, and follows current input requirements when executing supported tasks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore available Customgpt operations
• Check the Customgpt connection before execution
• Retrieve further pages of operation results

Build, refactor, and troubleshoot ChatGPT apps with an MCP server, which exposes tools to the assistant, and an interactive widget. Use official documentation and examples to plan tools, scaffold code, configure security settings, and validate local operation.

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• Scaffolding a ChatGPT app with a server and widget
• Planning app tools and their inputs
• Refactoring an existing Apps SDK demo

Use when the user mentions GPT Image 2.0 or GPT Image 2.5, gpt-image-2, gpt-image-2.5, gpt_image_2_5, GPT-Image-2 prompts, the Flare / Sunburst variants, a transparent-background image, or wants to generate an image with GPT Image 2.0 or 2.5. Covers when to prefer GPT Image 2.5 over 2.0 (transparent background, xhigh/max quality, extra aspect ratios — from platform and OpenAI facts), the CLI-vs-MCP disagreement on gpt_image_2, the three-format prompt taxonomy (Format A structured JSON for UI mockups and layout-dense images; Format B dense cinematic prose for single-subject scenes; Format C auto-derive meta-prompt for theme-only concepts), per-format craft patterns, output conventions, the 6-item pre-delivery checklist, and cross-surface workflow context (companion static-ads-workflow.md for ad recreation; higgsfield-marketing-studio cross-surface-workflow.md §3 for ms_image / DTC Ads Higgsfield-native alternative).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Research uncertain design choices, algorithms, or API usage through approved web searches or optional ChatGPT consultation. Get concise options with sources, with separate approval required before sending text externally and before implementing a chosen approach.

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• Comparing design and architecture options
• Researching algorithms or API usage
• Requesting ChatGPT feedback on a redacted proposal

Manage mathematical proof projects across Codex runs, keeping sources, attempts, and unresolved steps organized. Prepare manual GPT Pro handoffs for difficult steps, then check returned arguments and edit the proof for clarity.

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• Continue a proof from a previous run
• Prepare a manual GPT Pro handoff for a difficult lemma
• Track proof sources and unresolved steps

Manage mathematical proof work across separate runs, preserving sources, established results, and unresolved steps. Attempt and audit proofs locally, prepare focused manual GPT Pro handoffs when blocked, and check returned answers before producing a clearer final proof.

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• Continuing proof work from a previous run
• Preparing a focused GPT Pro handoff
• Checking a returned proof against local sources

Create or improve GPT-Image2 image prompts using a style library. Select suitable templates, then specify composition, materials, text, aspect ratio, and unwanted details in a prompt ready to copy.

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• Drafting prompts for product images and posters
• Specifying layouts and labels for infographics
• Comparing visual styles for an image concept

Integrate new FastGPT resources, such as AgentSkill or Plugin, with permission management. Choose an integration guide based on resource hierarchy and permission inheritance, locate the relevant code, and review a checklist for missing implementation steps.

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• Adding permission support to a new FastGPT resource
• Choosing an integration path based on permission inheritance
• Finding code locations for permission definitions and checks

Build and troubleshoot ChatGPT apps with an MCP server that exposes tools and an optional interactive widget. Use current official documentation and examples to create scaffolds, configure security settings, and guide local validation and deployment when requested.

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• Create a ChatGPT app scaffold from an official example
• Design tools and connect an MCP server to a widget
• Refactor or troubleshoot an existing Apps SDK app

Prepare a ChatGPT Apps submission JSON file by inspecting an MCP server, which exposes tools to AI agents. Generate app details, tool behavior justifications, and test cases, then report review findings and missing output schemas.

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• Generate a JSON file for a ChatGPT Apps submission
• Check tool annotations against implementation
• Prepare positive and negative review test cases

Build blockchain applications with ChainGPT APIs and SDKs. The skill guides chatbot integration, NFT image creation and minting, smart contract generation and auditing, and crypto news feeds, with starter templates and usage cost estimates.

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• Build a blockchain chatbot
• Create an NFT image generation and minting service
• Add smart contract auditing to CI/CD

Generate images, edit reference images, or redraw selected areas using GPT Image 2 or 2.5 through a packaged command-line tool. Resolve the model, image size, and quality settings, with reference examples available to guide the request.

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• Creating posters and images with text
• Editing an existing image using references
• Redrawing a selected area with a mask

Get guidance on Codex, OpenAI APIs, and ChatGPT Work using official documentation with citations. Use it to investigate settings and errors, compare models, plan migrations, or work on prompts and API integrations.

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• Check Codex settings and troubleshoot errors
• Compare models for a particular task
• Plan a model migration and prompt changes

Connect a ChatGPT or Claude account to import conversation history into knowledge pages. Sync new and changed conversations incrementally, revisit recent history to catch updates, and optionally enable scheduled syncing.

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• Importing ChatGPT conversation history
• Syncing Claude conversations into knowledge pages
• Keeping new and edited conversations up to date

Develop and review FastGPT APIs with consistent input and output checks, TypeScript types, and OpenAPI documentation. It guides the use of Zod schemas, definitions that describe and validate data, alongside permission checks and reusable structures.

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• Adding a new FastGPT API route
• Changing API inputs or responses
• Reviewing API validation and documentation

Retire a FastGPT workflow node while preserving existing workflows. The skill guides changes to templates, execution handlers, and interface references so the node disappears from creation menus but still loads, runs, and displays a replacement notice.

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• Retiring a FastGPT workflow node
• Hiding a node from creation menus
• Preserving existing workflows during node retirement

Guides LLM compression through pruning, which removes selected model weights. Covers Wanda and SparseGPT methods without retraining, accuracy comparisons, and structured weight patterns that can accelerate inference on compatible hardware.

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• Trying model compression without retraining
• Comparing accuracy before and after pruning
• Choosing between Wanda and SparseGPT

Claude, GPT, Gemini에 같은 요청을 실행해 응답 시간, 토큰 수, 비용을 비교합니다. 선택적으로 품질 점수를 더해 용도에 맞는 모델을 고르도록 돕습니다.

• 스킬에 맞는 모델 선택
• 응답 시간과 비용 비교
• 선택적 AI 평가로 품질 비교