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Vaibhav212303

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updated a Space about 2 months ago

Vaibhav212303/playwright_server

published a Space about 2 months ago

Vaibhav212303/playwright_server

reacted to Jaward's post with 🔥 over 1 year ago

The beauty in GRPO is the fact that it doesn’t care if the rewards are rule-based or learned, the hack: let the data self-normalize— trajectories in a batch compete against their mean, no value model, no extra params, just clean, efficient RL that cuts memory usage by 50%, while maintaining SOTA performance. btw it was introduced 9months prior to R1: arxiv.org/pdf/2402.03300

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updated a Space about 2 months ago

Playwright Server

Check engine status and version instantly

published a Space about 2 months ago

Playwright Server

Check engine status and version instantly

reacted to Jaward's post with 🔥 over 1 year ago

Post

1565

The beauty in GRPO is the fact that it doesn’t care if the rewards are rule-based or learned, the hack: let the data self-normalize— trajectories in a batch compete against their mean, no value model, no extra params, just clean, efficient RL that cuts memory usage by 50%, while maintaining SOTA performance. btw it was introduced 9months prior to R1: arxiv.org/pdf/2402.03300

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reacted to AtAndDev's post with 🔥 over 1 year ago

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1958

everywhere i go i see his face

upvoted a collection over 1 year ago

Qwen2.5-Coder

Code-specific model series based on Qwen2.5 • 38 items • Updated Mar 2 • 373

published a dataset over 1 year ago

Vaibhav212303/playwright-tests

Updated Jan 28, 2025 • 5

published a model over 1 year ago

Vaibhav212303/playwright-test-creator

Updated Jan 28, 2025