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
✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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500 Essential Web Scraping Interview Questions
Start: https://hackmd.io/@husseinsheikho/WS-Interview
Start: https://hackmd.io/@husseinsheikho/WS-Interview
✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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Python | Machine Learning | Coding | R
500 Essential Web Scraping Interview Questions Start: https://hackmd.io/@husseinsheikho/WS-Interview ✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk 📱 Our WhatsApp channel: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
500 Essential Web Scraping Interview Questions with Answers - part 1 (1 to 238)
Link: https://hackmd.io/@husseinsheikho/WS-Ans238
500 Essential Web Scraping Interview Questions with Answers - part 2 (239 to 386)
Link: https://hackmd.io/@husseinsheikho/WS-Ans386
500 Essential Web Scraping Interview Questions with Answers - part 3 (387 to 500)
Link: https://hackmd.io/@husseinsheikho/WS-Ans500
https://t.me/DataScienceQ✅
Link: https://hackmd.io/@husseinsheikho/WS-Ans238
500 Essential Web Scraping Interview Questions with Answers - part 2 (239 to 386)
Link: https://hackmd.io/@husseinsheikho/WS-Ans386
500 Essential Web Scraping Interview Questions with Answers - part 3 (387 to 500)
Link: https://hackmd.io/@husseinsheikho/WS-Ans500
https://t.me/DataScienceQ
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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
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
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