✅ SUPER SHORT 10-LINE REVISION (Viva + Placements Ready) gen ai
✅ SUPER SHORT 10-LINE REVISION (Viva + Placements Ready) 1️⃣ Rule-Based AI → Fixed IF-THEN logic, no learning ability. 2️⃣ Needed improvement because real data is complex and dynamic. 3️⃣ RNN → Introduced sequential memory using hidden states. 4️⃣ Problem: RNN suffers from vanishing gradient (forgets long context). 5️⃣ LSTM → Added gates (forget/input/output) to manage long-term memory. 6️⃣ Improvement: Better handling of long sequences than RNN. 7️⃣ GRU → Simplified LSTM with fewer gates → faster & lighter model. 8️⃣ Limitation: RNN/LSTM/GRU process data step-by-step (slow training). 9️⃣ Transformer → Uses Self-Attention to process all tokens together. 🔟 Result: Parallel training + long context understanding → foundation of GPT, BERT, modern LLMs. Rule-Based AI │ ├─ Idea: IF–THEN rules ├─ 👍 Simple logic └─ ❌ No learning, not scalable ↓ (Need learning from data) RNN (Recurrent Neural Netwo...
