Generative AI with LLMs, Prompting, Automation & Agents

About this course

A warm welcome to the Generative AI with LLMs, Prompting, Automation & Agents course by Uplatz.

Generative AI (Generative Artificial Intelligence) refers to a type of artificial intelligence that is capable of creating new content—such as text, images, audio, code, and more—rather than simply analyzing existing data. It mimics human creativity by learning from large datasets and generating outputs that resemble original, human-made content.

What It DoesTraditional AI systems are good at recognizing patterns or making predictions based on existing data. Generative AI goes a step further by actually producing new data that didn't exist before. For example:

• Writing articles or stories
• Creating images or artwork
• Composing music
• Writing code
• Designing products or layouts

How It WorksGenerative AI typically relies on advanced machine learning techniques, especially deep learning models such as:

Transformers – used in models like GPT (text) or T5Diffusion models – used in image generation (like DALL·E or Stable Diffusion)GANs (Generative Adversarial Networks) – used for creating realistic mediaA simplified breakdown of the process:

• Training
• The model is trained on massive datasets (e.g., books, websites, images, code).
• It learns statistical patterns, styles, and relationships in the data.

Learning Probabilities

Instead of memorizing, the model learns the probability of what should come next in a sequence (next word, next pixel, etc.).

Generation (Inference)<

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