7 min readJust now
–
What are Generative AI models?
Generative AI models are statistical models that have been trained on large datasets to uncover underlying patterns. They learn how data is structured and can then generate new content by predicting the next element in a sequence — such as the next word in a sentence.
However, generative AI models don’t stop at word generation. They encompass a wide range of subsets, each tailored to a specific task and using its own specialized method. For example, some models specialize in natural language generation, others in video creation, image synthesis, code production, or even scientific simulation.
Why we need different kind of models?
The need for this diversity stems from the desire to solve a wide array of complex creativ…
7 min readJust now
–
What are Generative AI models?
Generative AI models are statistical models that have been trained on large datasets to uncover underlying patterns. They learn how data is structured and can then generate new content by predicting the next element in a sequence — such as the next word in a sentence.
However, generative AI models don’t stop at word generation. They encompass a wide range of subsets, each tailored to a specific task and using its own specialized method. For example, some models specialize in natural language generation, others in video creation, image synthesis, code production, or even scientific simulation.
Why we need different kind of models?
The need for this diversity stems from the desire to solve a wide array of complex creative and analytical problems efficiently and effectively, each model has different architecture and unique strengths, weaknesses, and is best suited for different types of data and applications.
GenAI have four main types of generative AI models , and each has interesting potential use cases across industries.
1. Transformers
2. Stable Diffusion
3. GANs
4. VAEs
1. Transformers
Transformers are foundational to many generative AI applications as they can process sequential data and understand complex dependencies. These models rely on attention mechanisms to produce…