AI & ML
AI & ML
AI & ML
- Artificial Intelligence (AI) enables systems to mimic human-like decision making.
- Machine Learning (ML) allows computers to learn from data and improve over time.
- Applications include automation, predictions, speech recognition, and recommendation engines.
Agentic AI
- Autonomous, goal-oriented systems that perceive their environment and act.
- Used in robotics, gaming, and financial trading for complex decision-making.
- A step towards creating intelligent systems with minimal human intervention.
Generative AI
- Capable of generating new and original content (text, images, music, videos).
- Trained on massive datasets to replicate human creativity.
- Examples: GPT for text/code, DALL·E for images, AI music/video tools.
- Transforming industries like media, design, and software development.
Prompt Engineering
- The art of designing and refining prompts to guide AI models.
- Ensures clear, specific, and effective outputs from large language models (LLMs).
- Helps control tone, style, and context in AI-generated content.
- A critical skill for leveraging generative AI in real-world tasks.