{
 "schema_version": 1,
 "generated": "2026-10-24",
 "id": "aibuildai-inc-aibuildai-llm-posttrain-agent--post-train-model-on-own-task-folder",
 "repo": "aibuildai-inc/aibuildai-llm-posttrain-agent",
 "repo_url": "https://github.com/aibuildai-inc/aibuildai-llm-posttrain-agent",
 "repo_slug": "aibuildai-inc-aibuildai-llm-posttrain-agent",
 "title": "Post-train a model for your own task and data",
 "page_title": "How to post-train a model for your own task and data with Aibuildai LLM Posttrain Agent",
 "summary": "Point a run at a folder with your task statement and data files, then start post-training.",
 "who": "A developer at a company who has proprietary data and a scoring script and wants the agent to tune a base model for that use case.",
 "problem": "Hand-running many post-training experiments is expensive, and each change needs a fresh evaluation.",
 "outcome": "A run that reads your task folder, writes its own score program, and produces a deliverable model package or task-defined result.",
 "steps": [
  "Complete the install steps for the repo and set `AIBUILDAI_API_KEY` or sign in with `claude auth login`",
  "Print the starter config with `aibuildai config > task.yaml`, or copy examples/gsm8k-qwen3-1.7b-base.yaml",
  "Set `run.data_root` in task.yaml to your task folder with the statement, the data files, and any readme",
  "Start the run with `aibuildai run task.yaml`",
  "Open the printed workspace URL to follow the run and check the private and deliverable folders when it ends"
 ],
 "agent_prompt": "Using the aibuildai-llm-posttrain-agent repo, create a task.yaml with run.data_root set to <task_folder>, then run `aibuildai run task.yaml`. Expected output: a deliverable directory and a score program under private/. Verify that the score program exists and reads the task folder before the run starts.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "4 hours",
 "basis": "readme",
 "caveat": "The README says a serious run needs larger budgets than the example, so plan for longer runtimes and check the cost limit, which is a soft limit.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "python",
 "requirements": [
  "Linux x86_64 with a systemd user session and Python 3.11 to 3.13",
  "A C toolchain (gcc, make) with zlib and readline headers, plus bwrap (bubblewrap) with unprivileged user namespaces enabled",
  "A Claude Code login or an Anthropic API key, or an Anthropic-compatible endpoint and its key",
  "A CUDA GPU is recommended",
  "Network access to GitHub releases and ftp.postgresql.org"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/aibuildai-inc-aibuildai-llm-posttrain-agent/post-train-model-on-own-task-folder/",
 "md": "https://dedupedai.com/use-cases/aibuildai-inc-aibuildai-llm-posttrain-agent/post-train-model-on-own-task-folder/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/aibuildai-inc-aibuildai-llm-posttrain-agent--post-train-model-on-own-task-folder.json",
 "api_version": "v1"
}