Generative AI models are a broad area in Machine Learning that instead of Classification focus on creating data. Classification is about prediction which is really cool; Nostradamus ;) However, the ability to create is superior; We become Gods, new kind of gods that really exist! Also, if you can create, you can predict.

It’s hard to define intelligence. I will do it later!

Whenever you want to explain machine learning to someone, use the example of Teaching. Machine learning is like taking an exam from students. You compare students’ results (model’s prediction) with the answers (labels) you have.

Q: What is a joint probability?

Teaching is an Art to me.

There has been great hype in multimodal research these past few days because of the release of multiple text-to-video models while text-to-image models are still pretty hype and not perfect yet. Diffusion models such as GLIDE in general and stable diffusion in particular are the state-of-the-art models for text-to-image tasks as of now. However, multiple papers came out recently that tackle the task of generating videos from text prompts or still images. Here are some of these models released…

Use this website interactively to learn. Use this website to generate regular expressions

I am back at writing again. Don’t get me wrong, I still write everyday, but for myself, and it’s been a long time that I have not written anything publicly. Well, that’s about to change since I have some ideas to write about frequently. The theme of my frequent writings are the followings:

Don’t spend endless hours contemplating the tools. Follow this rule: