01 - Introduction to Generative AI: From GANs to Large Language Models
Discover the evolution: from GANs to diffusion models to LLMs. What is generative AI? Types of models. Use cases: content creation, code generation, c
Discover the evolution: from GANs to diffusion models to LLMs. What is generative AI? Types of models. Use cases: content creation, code generation, customer support, design. Trend: ChatGPT +100M users in 60 days. Decision framework: when it makes sense, when it doesn\
What you'll learn
- The definition of generative AI and how it differs from traditional AI
- The historical evolution: from GANs to Diffusion Models to Large Language Models
- The main proprietary and open source models available today
- Concrete use cases and the business value of generative AI
- When it makes sense to use generative AI and when it doesn't
This article is part of the Generative AI series on federicocalo.dev.
Read the full article
The complete article (13 min read) with code examples, diagrams, and practical exercises is available here:
➡️ 01 - Introduction to Generative AI: From GANs to Large Language Models
https://federicocalo.dev/en/blog/generative-ai-introduction-gan-llm
By Federico Calò — Software Developer & Technical Writer