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Generative AI appears in 65 event pages on TGScopeSimplified Process: LLM generates responses → Humans evaluate → Preferred responses identified → Reward signal → Model optimized The goal is to make the model more: Helpful, Safe, Aligned, Instruction-following 11. What is Model Alignment? Model alignment means making an AI…
🚀 Generative AI Fundamentals – Part 2 🧠 Large Language Models (LLMs) Deep Dive Understanding LLMs is one of the most important topics in GenAI interviews. 1. What is a Large Language Model (LLM)? A Large Language Model (LLM) is a deep learning model trained on massive amounts…
🚀 Generative AI Fundamentals – Part 2 🧠 Large Language Models (LLMs) Deep Dive Understanding LLMs is one of the most important topics in GenAI interviews. 1. What is a Large Language Model (LLM)? A Large Language Model (LLM) is a deep learning model trained on massive amounts…
Example: Cat → [0.34, 0.67, 0.11...] Dog → [0.32, 0.69, 0.15...] Car → [0.91, 0.18, 0.76...] Cat and Dog embeddings are closer than Cat and Car because their meanings are more similar. Used in: RAG, Semantic Search, Recommendation Systems, Vector Databases 11. Why is Generative…
Important AI Agent Terms Every Beginner Should Know Understanding these terms will make it much easier to learn AI Agents, Agentic AI, and Generative AI. 1. Agent An AI system that can: • Understand goals • Make decisions • Use tools • Complete tasks autonomously Example: An AI…
🚀 Generative AI Fundamentals – Part 6 ⚙️ Fine-Tuning, LoRA, PEFT, RLHF & Model Alignment Fine-tuning and model adaptation are important topics for GenAI Engineer, LLM Engineer, and Applied AI interviews. 1. What is Fine-Tuning? Fine-tuning is the process of taking a pretrained…