Today we're taking the next step beyond prompt engineering and RAG; we're building our own Docker GPT using LLM Fine-Tuning.
If you've ever wondered:
📌 How can I teach an LLM to understand Docker commands and troubleshooting?
📌 How do models learn domain-specific knowledge?
📌 What exactly happens during LLM fine-tuning?
📌 When should you use fine-tuning instead of RAG?
This video answers all of these questions in a practical, beginner-friendly way.
We'll cover:
✅ What LLM Fine-Tuning is
✅ Different types of fine-tuning
✅ The complete fine-tuning workflow
✅ Building a Docker-focused GPT
Whether you're a DevOps Engineer, Platform Engineer, SRE, or someone starting your GenAI journey, this video will give you a solid understanding of how custom LLMs are built.
🎥 Watch here:
🔗 English: https://youtu.be/5IoB0mfVCuA
🔗 Hindi: https://youtu.be/LSkRd_PC0YU
📚 Follow the complete 100 Days of GenAI for DevOps series:
🔗Day 12 (English): https://www.ideaweaver.ai/courses/100-days-of-genai-for-devops-english/lectures/66332171
🔗Day 12(Hindi): https://www.ideaweaver.ai/courses/100-days-of-genai-for-devops-hindi/lectures/66332172
If you find the series helpful, I'd really appreciate it if you could Like, Share, and Subscribe. It helps the content reach more engineers who want to learn AI for DevOps.
🎉 August enrollment is now open at IdeaWeaver AI Labs!
We have 3 programs starting this month, pick the one that fits where you are:
🔵 GenAI for DevOps Engineers
👉 https://ideaweaver.ai/#courses/genai-for-devops-engineers
🟢 GenAI for Beginners
👉 https://ideaweaver.ai/#courses/genai-for-beginners
🟡 NVIDIA-Certified Associate: AI Infrastructure and Operations
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