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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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Crypto M - Crypto News

@CryptoM · Post #65373 · 04/13/2026, 02:56 AM

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🚀 Daiwa Raises Gu Ming's Target Price to HKD 36 On April 13, according to Jin10, Daiwa released a research report raising the target price of Gu Ming (01364.HK) from HKD 35 to HKD 36, maintaining a 'buy' rating. This corresponds to a forecasted price-to-earnings ratio of 22 times for 2026. Daiwa noted that Gu Ming's takeaway proportion has decreased from a peak of 60% in the third quarter of last year to below 50%. The management expects this trend to continue, aiming to improve franchisee profitability through initiatives such as dine-in promotions, extending morning business hours, and increasing coffee sales. The firm has also raised its earnings per share forecast for Gu Ming from 2026 to 2028 by 6% to 12%. #Daiwa#GuMing#TargetPrice#HKD36#BuyRating#FranchiseeProfitability#EarningsForecast#TakeawayProportion#CoffeeSales#MorningBusinessHours

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