Python | Machine Learning | Coding | R
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Discover powerful insights with Python, Machine Learning, Coding, and R—your essential toolkit for data-driven solutions, smart alg

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🚀 Comprehensive Guide: How to Prepare for a Graph Neural Networks (GNN) Job Interview – 350 Most Common Interview Questions

Read: https://hackmd.io/@husseinsheikho/GNN-interview

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This repo is awesome. It features RAG, AI Agents, Multi-agent Teams, MCP, Voice Agents, and more.

link: https://github.com/Shubhamsaboo/awesome-llm-apps

#RAG #AIAgents #MultiAgentSystems #VoiceAI #LLMApps


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500 Essential Web Scraping Interview Questions

Start: https://hackmd.io/@husseinsheikho/WS-Interview

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This repository contains a collection of everything needed to work with libraries related to AI and LLM.

More than 120 libraries, sorted by stages of LLM development:

→ Training, fine-tuning, and evaluation of LLM models
→ Integration and deployment of applications with LLM and RAG
→ Fast and scalable model launching
→ Working with data: extraction, structuring, and synthetic generation
→ Creating autonomous agents based on LLM
→ Prompt optimization and ensuring safe use in production

🌟 link: https://github.com/Shubhamsaboo/awesome-llm-apps

👉 @codeprogrammer
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