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Source channel @githubtrending · Post #15340 · Dec 17

#python#gym#gym_environment#reinforcement_learning#reinforcement_learning_agent#reinforcement_learning_environments#rl_environment#rl_training NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior. https://github.com/NVIDIA-NeMo/Gym

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🦅 [ perspective ix ]

@perspectiveix · Post #1563 · 09/25/2018, 08:00 AM

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💰Gig Economy Workers Are Earning Half What They Did Five Years Ago More people are working for ride-sharing and delivery companies but on average they’re making less. On average, drivers who transport people (#Uber or #Lyft) or things (#UberEats or #Postmates) through an app made 53 percent less in 2017 than they did in 2013, according to a new study by the JPMorgan Chase Institute. The average monthly payments to those who worked for a transportation app in a given month declined to $783 from $1,469. Meanwhile, people working for leasing apps — #Airbnb, Turo, Parklee and other apps that let you rent assets like your home, car or parking space — saw their incomes from those platforms rise 69 percent to $1,736 on average. This is happening as online gig work has become more popular, thanks in large part to the growth in the number transportation jobs. 🚀@PerspectiveIX via Recode.

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