20 篇文章 含有標籤「MachineLearning」

install:
  commands:
    - docker buildx create --name containerd --driver=docker-container --driver-opt default-load=true

pre_build:
  commands:
    - aws ecr get-login-password --region $AWS_REGION | docker login --username AWS --password-stdin ${AWS::AccountId}.dkr.ecr.$AWS_REGION.amazonaws.com

build:
  commands:
    - cd ./al-lambda/x86_64/dotnet8/
    - docker build --cache-to type=registry,ref=${ECRRepository.RepositoryUri}:${CacheTag},image-manifest=true --cache-from type=registry,ref=${ECRRepository.RepositoryUri}:${CacheTag} --tag ${ECRRepository.RepositoryUri}:${ImageTag} --builder=containerd .

post_build:
  commands:
    - docker push ${ECRRepository.RepositoryUri}:${ImageTag}

name: Detect duplicate issues
on:
  issues:
    types: [opened, reopened]
permissions:
  models: read
  issues: write
jobs:
  continuous-triage-dedup:
    if: ${{ github.event.issue.user.type != 'Bot' }}
    runs-on: ubuntu-latest
    steps:
      - uses: pelikhan/action-genai-issue-dedup@v0
        with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
          # Optional tuning:
          # labels: "auto"          # compare within matching labels, or "bug,api"
          # count: "20"             # how many recent issues to check
          # since: "90d"            # look back window, supports d/w/m

name: Issue Completeness Check
on:
  issues:
    types: [opened]
permissions:
  issues: write
  models: read
jobs:
  check-completeness:
    runs-on: ubuntu-latest
    steps:
      - name: Check issue completeness
        uses: actions/ai-inference@v1
        id: ai
        with:
          prompt: |
            Analyze this GitHub issue for completeness. If missing reproduction steps, version info, or expected/actual behavior, respond with a friendly request for the missing info. If complete, say so.
            
            Title: ${{ github.event.issue.title }}
            Body: ${{ github.event.issue.body }}
          system-prompt: You are a helpful assistant that helps analyze GitHub issues for completeness.
          model: openai/gpt-4o-mini
          temperature: 0.2
      - name: Comment on issue
        if: steps.ai.outputs.response != ''
        uses: actions/github-script@v7
        with:
          script: |
            github.rest.issues.createComment({
              owner: context.repo.owner,
              repo: context.repo.repo,
              issue_number: ${{ github.event.issue.number }},
              body: `${{ steps.ai.outputs.response }}`
            })