How I Build Classification Models Using LLMs | Modern AI Workflow

Traditional ML isn’t the only way anymore. In this video, I show how I now build classification models using LLMs — faster, more flexible, and with minimal training data. You’ll learn: ✔️ Why LLMs work well for classification tasks ✔️ Prompt-based vs structured output classification ✔️ Zero-shot & few-shot classification with LLMs ✔️ When to use LLMs vs traditional ML models ✔️ Cost, latency & accuracy trade-offs ✔️ Real-world examples (text, intent, labels) Perfect for ML engineers, data scientists, and GenAI developers adapting to LLM-first workflows in 2025. 💬 Discord Community: https://discord.gg/rWdVCmjAHp 📸 Instagram: https://www.instagram.com/pavithravbhuvan/ 💼 LinkedIn: https://www.linkedin.com/in/pavithra-vijayan-6a68379a/ 🎯 Topmate: https://topmate.io/pavithra_vijayan 🌐 Website: https://pavithravbhuvan.com/ 📁 GitHub: https://github.com/pavithra20august/Hybrid-LLM-Classifier