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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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@venturevillagewall · Post #3874 · 01/14/2025, 01:00 PM

Funding Rounds Update: January 2025 In January 2025, notable funding rounds included: - Beams secured $9M for a renovation platform enhancing home planning, design, and building. Learn more - KamiwazaAI raised $8.5M, aiming to revolutionize enterprise AI with 1 trillion daily inferences. Learn more - CyGO Entrepreneurs garnered $5.16M for their business initiatives. Learn more - Oh obtained $4.5M for digital twin interactions. Learn more - Varadise received $3M for AI-driven construction solutions. Learn more - Jinli Intelligence brought in $2.73M for intelligent technology solutions. Learn more - Origami Agents raised $2M for their internet research tracking services. Learn more - Novastro secured $1.2M for their L2 chain applications. Learn more - RePut.ai raised $1M for AI tools. Learn more - Quash garnered $635K to automate bug reporting for developers. Learn more #Funding#Startup#AI#Construction#Tech#DigitalTwin#Automation#Enterprise#Research#Platform#Solutions#VC#Innovations#Web#Data#Efficiency#BugReporting#DigitalTransformation#Kamiwaza#Beams