Generative AI refers to systems that create new content — text, images, code, audio — by learning patterns from massive datasets.
Large Language Models (LLMs) like the GPT and Claude families are built on the transformer architecture and have transformed natural language understanding and generation.
Transformers use a self-attention mechanism that lets the model weigh the importance of every word relative to others in a sequence, capturing long-range context. This replaced older recurrent networks and enabled training on enormous datasets.
LLMs are pre-trained on vast text corpora to predict the next token, then fine-tuned and aligned using techniques such as reinforcement learning from human feedback.
| Aspect | Details |
|---|---|
| Branch | Computer Science Engineering (CSE) |
| Topic Type | Technical Seminar / Project Report |
| Difficulty | Intermediate – Advanced |
| Best For | Final-year BTech seminars & presentations |
| Includes | Explanation, key points, FAQs & references |