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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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@belajarnetworking

@belajarnetworking · Post #382 · 03/08/2017, 12:02 PM

#labs[.pka] Part 1: Basic Networking - 1-1 Basic Configuration http://www.ranet.co.th/packetlab/ccna/NA-1-1-BasicConfig.pka - 1-2 IPv4 Addressing http://www.ranet.co.th/packetlab/ccna/NA-1-2-IPv4addressing.pka - 1-3 IPv6 Addressing http://www.ranet.co.th/packetlab/ccna/NA-1-3-IPv6addressing.pka Part 2: LAN Technology - 2-1 InterVLAN Routing http://www.ranet.co.th/packetlab/ccna/NA-2-1-InterVLAN.pka - 2-2 VTP http://www.ranet.co.th/packetlab/ccna/NA-2-2-VTP.pka - 2-3 STP http://www.ranet.co.th/packetlab/ccna/NA-2-3-STP.pka Part 3: WAN Technology - 3-1 PPP - PAP http://www.ranet.co.th/packetlab/ccna/NA-3-1-PPP-PAP.pka - 3-2 PPP - CHAP http://www.ranet.co.th/packetlab/ccna/NA-3-2-PPP-CHAP.pka - 3-3 Frame Relay - Multipoint http://www.ranet.co.th/packetlab/ccna/NA-3-3-FR-Multipoint.pka - 3-4 Frame Relay - Point-to-Point http://www.ranet.co.th/packetlab/ccna/NA-3-4-FR-P2P.pka Part 4: IP Routing and Services - 4-1 Static and Default Route http://www.ranet.co.th/packetlab/ccna/NA-4-1-Static-Default-Route.pka - 4-2 RIP http://www.ranet.co.th/packetlab/ccna/NA-4-2-RIP.pka - 4-3 OSPF http://www.ranet.co.th/packetlab/ccna/NA-4-3-OSPF.pka - 4-4 EIGRP http://www.ranet.co.th/packetlab/ccna/NA-4-4-EIGRP.pka - 4-5 Port Security http://www.ranet.co.th/packetlab/ccna/NA-4-5-PortSecurity.pka - 4-6 Access Control List http://www.ranet.co.th/packetlab/ccna/NA-4-6-AccessList.pka - 4-7 NAT http://www.ranet.co.th/packetlab/ccna/NA-4-7-NAT.pka - 4-8 VPN-IPsec http://www.ranet.co.th/packetlab/ccna/NA-4-8-VPN.pka - 4-9 DHCP http://www.ranet.co.th/packetlab/ccna/NA-4-9-DHCP.pka

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@belajarnetworking

@belajarnetworking · Post #181 · 01/21/2017, 12:05 PM

r e u p l o a d ‌ #labsCCNA Full Labs .pka "File activity labs yang saat ini sedang rutin dikerjakan, silakan di download. Ada 5 buah folder: dan ebook guide nya" Content: - I: Network Fundamentals - II: Routing Protocols and Concepts - III: LAN Switching and Wireless - IV: Accessing the WAN - ++ Completed Activities

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Venture Village Wall 🦄

@venturevillagewall · Post #3381 · 12/18/2024, 12:09 PM

Fight Disinformation with AI INAR .IA Labs & Technologies has raised $1.21M for its innovative SaaS platform aimed at automating the detection and verification of disinformation across online content. Scheduled to launch on December 18, 2024, this multimodal and multilingual tool is set to enhance online security and information integrity. More details can be found at TrueFlag. #Funding#Technology#AI#SaaS#Disinformation#Verification#OnlineSafety#Security#Innovation#Automation#Multimodal#Multilingual#Integrity#Content#Platform#Launch #2024 #INAR#TrueFlag#Labs

GitHub Trends

@githubtrending · Post #14895 · 07/02/2025, 12:00 PM

#python#copilot#csharp#dotnet#github#github_copilot#github_copilot_chat#github_copilot_for_azure#github_copilot_free#github_copilot_training#javascript#lab#labs#microsoft#python#sql#tutorial#tutorial_code#tutorial_exercises#visual_studio_code#vscode GitHub Copilot’s new Agent Mode is a powerful AI coding partner that goes beyond just suggesting code—it can independently write, debug, and improve your code, handle complex workflows, and even fix its own mistakes automatically. It works with multiple programming languages and integrates with popular development tools, helping you save time on repetitive tasks like testing, deployment, and refactoring. By using natural language prompts, you can guide it to complete multi-step projects, making coding faster and easier whether you’re a beginner or an expert. This course teaches you how to fully use these features, boosting your productivity and coding skills. https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming