This talk will provide an overview of the current AI landscape, highlighting key concepts, applications, and implications. The discussion will be engaging and informative, with examples and insights to spark interesting conversations.
Key Points:
1. AI: Artificial Intelligence refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as visual perception, speech recognition, and decision-making.
2. ML: Machine Learning is a subset of AI that involves training algorithms to learn from data and improve performance over time.
3. DL: Deep Learning is a type of ML that uses neural networks with multiple layers to analyze complex patterns in data.
4. Transformers: A type of neural network architecture that’s particularly effective for sequential data, such as text or time series data.
5. GenAI: Generative AI refers to AI systems that can generate new content, such as text, images, or videos.
6. LLMs: Large Language Models are a type of GenAI that’s trained on vast amounts of text data to generate human-like language.
7. Agentic AI: Agentic AI refers to AI systems that can act autonomously, making decisions and taking actions without human intervention.