Post by shrweta naik

🧠 LLM Efficiency — The One Diagram You Need to Remember This Topic We often hear: “AI models are getting bigger.” But the real innovation is happening here 👇 👉 Making AI more efficient, scalable, and accessible I created this simple visual to break it down: 📌 The Goal Build powerful LLMs using fewer resources: 💻 Compute | 🧠 Memory | ⚡ Energy | 💰 Cost | 🌐 Communication 🔁 The 5-Layer Framework (Easy to Remember) 1️⃣ Architecture → Smarter model design 2️⃣ Pre-training → Train efficiently 3️⃣ Fine-tuning → Adapt with fewer parameters 4️⃣ Inference → Run faster & cheaper 5️⃣ System Design → Optimize real-world deployment 🔥 Top Techniques You Should Know LoRA → Efficient fine-tuning Quantization → Smaller models Pruning → Remove unnecessary weights Distillation → Compress knowledge MoE → Scale without heavy compute ⚠️ Reality Check Trade-offs are everywhere (speed vs performance) Bigger ≠ always better No universal benchmark yet 💡 The Big Insight The future of AI isn’t just about building larger models… It’s about building 👉 smarter, leaner, and more sustainable AI If this helped, save it for later 🔖 This framework is gold for interviews & real-world AI work. #AI #MachineLearning #LLMs #DeepLearning #AIEngineering #Tech #ArtificialIntelligence