pleasefixai/sagemaker-ai

v1.0.1Apache-2.0

Guides to plan, fine-tune and evaluate models and debug HyperPod clusters on SageMaker AI.

GitHub Open Website

scripts

dataset-evaluation
scripts/format_detector.py
dataset-transformation
code_templates/transformation.py
scripts/transformation_tools.py
finetuning-technique
scripts/get_recipes.py
finetuning
code_templates/dpo.py
code_templates/rlaif_builtin.py
40 more
- code_templates/rlaif_custom_prompt.py
- code_templates/rlvr.py
- code_templates/sft.py
- scripts/mlflow_reference.py
- templates/nova_rlvr_reward_function_source_template.py
- templates/rlvr_reward_function_source_template.py
- hyperpod-cluster-debugger
- scripts/diagnose-cluster.sh
- hyperpod-issue-report
- scripts/hyperpod_issue_report.py
- hyperpod-nccl
- scripts/nccl-diagnose.sh
- hyperpod-node-debugger
- scripts/check-efa-sg.sh
- scripts/check-node-reachability.sh
- scripts/check-vpc-config.sh
- scripts/triage-cluster.sh
- hyperpod-performance-debugger
- scripts/perf-snapshot.sh
- hyperpod-slurm-debugger
- scripts/slurm-diagnose.sh
- hyperpod-ssm
- scripts/get-cluster-info.sh
- scripts/list-nodes.sh
- scripts/ssm-exec.sh
- hyperpod-version-checker
- scripts/hyperpod_check_versions.sh
- model-deployment
- code_templates/deploy-nova-bedrock.py
- code_templates/deploy-nova-sagemaker.py
- code_templates/deploy-oss-bedrock.py
- code_templates/deploy-oss-sagemaker.py
- model-evaluation
- code_templates/custom_scorer_evaluator.py
- code_templates/llmaaj_evaluator.py
- scripts/nova_reward_function_source_template.py
- scripts/reward_function_source_template.py
- scripts/validate_custom_metrics.py
- model-selection
- scripts/get_model_names.py

plugin.json

name: sagemaker-ai
version: 1.0.1
description: Guides to plan, fine-tune and evaluate models and debug HyperPod clusters on SageMaker AI.
author: Amazon Web Services
license: Apache-2.0
homepage: https://github.com/awslabs/agent-plugins
keywords: sagemaker machine-learning generative-ai fine-tuning training deployment inference mlops aws
extensions: ai.pleasefix.client

plugin.json

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "sagemaker-ai",
  "version": "1.0.1",
  "description": "Guides to plan, fine-tune and evaluate models and debug HyperPod clusters on SageMaker AI.",
  "author": {
    "name": "Amazon Web Services"
  },
  "homepage": "https://github.com/awslabs/agent-plugins",
  "license": "Apache-2.0",
  "keywords": [
    "sagemaker",
    "machine-learning",
    "generative-ai",
    "fine-tuning",
    "training",
    "deployment",
    "inference",
    "mlops",
    "aws"
  ],
  "extensions": {
    "ai.pleasefix.client": {
      "engines": ">=26.10.0",
      "displayName": "Amazon SageMaker AI",
      "category": "developer_tools",
      "upstream": {
        "kind": "imported",
        "marketplace": "claude",
        "plugin": "sagemaker-ai",
        "commit": "097fe8ad56d8a1d5e2c81d7880adf145553cf244",
        "skills": {
          "dataset-evaluation": "de42dc1637616c09d07b80bd160f55c6fff239a1fce9314c2486844bf579e585",
          "dataset-transformation": "5031a4d197211fbfcfd1739a14e00e7905b3bc55a3a95aae07cf62c61b1f8cdb",
          "directory-management": "dd33c19aec3724066881eaa9340e3f3c6d066f1185a8b6ad6e0c579955c1b95e",
          "finetuning": "f80b56dc607b018847d7608ed35d23bcf6bdcb1b68ec5a31cc6873926318948b",
          "finetuning-technique": "657e65fb590a9fe37ebe9e25639d284bad6531ba44f69862cc54add40f54d112",
          "hyperpod-cluster-debugger": "aaef9b6342cd4898f0b0d0debc27683dc96a8b46e886022116637a77ed66e380",
          "hyperpod-issue-report": "1275545a8a37b4871026a0354856614bb0d3c940cb700ceae02d39952baf41fe",
          "hyperpod-nccl": "3b8b556b701cda893588c0c4e4882a74248d894b3b294e8d32883e333c94f57c",
          "hyperpod-node-debugger": "0f830bf1cf622cbbcf7f4f32f8ac8385463d719379dfd11fd5c63f79b6a1693a",
          "hyperpod-performance-debugger": "f8f12d632b84f5b28e853fe88f3ff97b764870e77ee783ef472e9456a64b517f",
          "hyperpod-slurm-debugger": "5f15b4748aef1057823c20e30576c0dad81b985c4c471c9f2f3a1e218876ecfe",
          "hyperpod-ssm": "e6a52bc775442b985992649382e1139ca6e5b86fb7f9aa2da803e02dbc26cf68",
          "hyperpod-version-checker": "afa197104278b112b341c997323ecc542bf7b9909ca8b47102453e1e18674850",
          "model-deployment": "c7894c3bb1c52148c7f2a8db8645fca620cafabb7fb0ab03ab0dec116cb325d0",
          "model-evaluation": "0d9d13b4cfa3010598b24316217a77117492f8d89c67179e1fe26d6bc92a084a",
          "model-selection": "accb3e8c197a1ee89df8fb812893fca2056101860a46558ea5d473211c84a225",
          "planning": "7bdd7fedb7d70e35585918b409fddb3b33d3ce1a742e93790990dab7e94b9355",
          "sdk-getting-started": "881dd508e7a38923632ffd5c5a16cde3e8fb368a28de0a6f37ce5858d24525bb",
          "use-case-specification": "1e365d9ae02e1e54d400ae76e7a5987a25df45ee2875be48050fc04646ccc1fe"
        }
      }
    }
  }
}

What else this package ships

These files come with the package and this site does not publish them. They are listed so you know what is there before you install it.

23Python files
12shell scripts
19other files

View on GitHub

Client extensions

Data this package carries for particular clients. The directory lists the clients named and never reads what is addressed to them.

ai.pleasefix.client