NVIDIA-NeMo / NVIDIA-NeMo/Gym

google_search environment quality verification

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env-infra
Dominant language
Python
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Forks
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Avg merge
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Merged PRs (30d)
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Description

Use cases, pain points, and background
Google search resources server is currently unverified

Description:

Design:
May need to implement HLE with tools inside Gym

Out of scope:
What are some items that this issue could be mistaken to cover that this issue should explicitly NOT cover?

Acceptance Criteria:

  • A full W&B run where we see the HLE with tools validation accuracy improve meaningfully

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by examining the unverified google_search resources server and the proposed HLE-with-tools approach inside Gym. Done means completing a full W&B run and showing a meaningful improvement in HLE-with-tools validation accuracy.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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