The State of Generative AI

Seanghay Yath,

You might have seen a lot of things about AI tools such as ChatGPT (opens in a new tab), BART (opens in a new tab), LLaMA (opens in a new tab), Whisper (opens in a new tab), stable-diffusion (opens in a new tab) and many more. This article will not be teaching you about how it works, but it will try to mention interesting projects related to AI that I have found.

AI vs. You

Personally, I'm not afraid of AI replacing my job while some people are concerning and signing letters to pause the AI research and model training. If you think humans are capable of creating an AI model that can entirely replace themselves, you might be watching too much movies. We're not there yet. Both of us, AI and human, are different and good at doing different things. Human's ability to remember and constantly learning are far more superior than AI right now.

For example, ChatGPT is a large language model, so it's basically a massive collection of data that have been crawled from the internet. Think of it as a search engine that is capable of understanding some human languages (Khmer language excluded 😂). It gives us answers based on its knowledge that it has been trained on. Some common answers are correct while some are completely wrong. I always think of it as a Contents Generator Machine.

If you're still scared of it, you should get your hands dirty with AI and ML to get better understanding of how it works under the hood.


Do not install pip or python directly in your computer. Always use Anaconda. It helps you run anything related to Python without pain.

# create an env
conda create -n scared_of_ai python==3.10
# activate your env
conda activate scared_of_ai 

When installing dependencies, use this

python -m pip install transformers accelerate

Instead of

pip install transformers accelerate


A library for building interactive Web UI for machine learning models that can be accessed via web browsers because most people who are good at ML/AI are lazy to build easily accessible GUIs for average users like us.

Hugging Face

A website for hosting and downloading pretrained models that made by you or other people in the community. There are three terms that you should understand:

Hugging Face is really similar to GitHub but for machine learning.

Jupyter Notebook

A web UI that you can execute Python and scripts from a remote or local machine with isolated environments. No Anaconda needed!

Google Colab

It's a Jupyter Notebook running on Google servers.

Fine-tuning or Transfer learning

A process for converting/modifying a machine learning model to do similar tasks that the current model is incapable of or can be used to narrow down the scope of a machine learning model into specific needs.

For example, let's say we have a pretained MobileNet model that can understand 1,000 classes of images, and we want to fine-tune it to understand only two classes such as Apple or Orange. This process is very common!

Hardware Acceleration (CUDA, CPU, MPS)


Large Language Model (LLM)



Stable Diffusion




Stable Diffusion web UI by AUTOMATIC1111







OpenAI Whisper

Google T5

Facebook NLLB

2023 © Seanghay Yath