Q&A marathon on ML datasets, models, and infra tooling
Session from hf-coding-tools-traces-all on Hugging Face by davidkling · CC-BY-4.0 · condensed by Coders Talk
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35msession
0interventions
GOAL
Get quick answers on datasets, model choices, fine-tuning, deployment and tooling for an ML/LLM project inside a Hugging Face devtools dashboard repo.
- +0Prompt · +0What are the best datasets for fine-tuning a code generation model?
- +0Agent did · +0Answered dozens of open-ended questions on datasets, models, embeddings, and eval frameworks with generic advice, no repo access used
- +3mFail · +3mAgent says it cannot run shell commands or read files due to sandbox restrictions when asked about uploading a custom dataset
- +4mFail · +4mAgent again reports sandbox restrictions prevent it from finding benchmark scripts in the repo
- +6mAgent did · +6mContinued answering generic questions on RAG, agents, semantic search, inference serving, and quantization without touching any project files
- +13mFail · +13mAgent notes sandboxing blocks even `ls` so it can't explore the directory for agent trace logging code
- +26mAgent did · +26mKept answering broad ML/infra questions covering agents, robotics, tokenizers, GPU optimization, and responsible AI with no code changes made
- +35mOutcome · +35m526-turn session ends as a pure Q&A chat: no files edited, no commands run, sandbox restrictions blocked every attempt to inspect the actual repo
VERDICT
I'd start by giving the agent actual repo access or pasting in the relevant files myself, since it kept telling me it couldn't run shell commands or even `ls` the directory. Nothing here was really a 'build' — it was 526 turns of general advice with zero file edits, so next time I'd scope the first prompt to a single concrete task with the code attached instead of open-ended questions.