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Source channel @githubtrending · Post #14845 · Jun 20

#jupyter_notebook#ai#artificial_intelligence#chatgpt#deep_learning#from_scratch#gpt#language_model#large_language_models#llm#machine_learning#python#pytorch#transformer You can learn how to build your own large language model (LLM) like GPT from scratch with clear, step-by-step guidance, including coding, training, and fine-tuning, all explained with examples and diagrams. This approach mirrors how big models like ChatGPT are made but is designed to run on a regular laptop without special hardware. You also get access to code for loading pretrained models and fine-tuning them for tasks like text classification or instruction following. This helps you deeply understand how LLMs work inside and lets you create your own functional AI assistant, gaining practical skills in AI development[1][2][3][4]. https://github.com/rasbt/LLMs-from-scratch

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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