My YouTube Videos

Description

Focusing on programming in python, machine learning, reinforcement learning, artificial intelligence, speech processing, language models. Using Tmux, Neovim, and its plugins to increase productivity in coding.

You can find my YouTube channel here: https://www.youtube.com/channel/UCHpwDjAtW1AZrexwBgViHmw

RAG App (NO API key needed): Easy and quick AI Chat for Your Docs on Mac (Apple Silicon) - Part 1

Learn how to build a retrieval augmented generation (RAG) app with local llm (tailored to M-chip of Apple).

RAG Explained and Coded for Beginners

Learn how “retrieval augmented generation” (RAG) works with Langchain and MLX in Python.

YOLO Demo: Uncovering LoRA’s Inefficient GPU Usage (for Computer Vision models)

I expose the truth about LoRA for computer vision models via a practical demo with a YOLOv5.

Fine-tune Facebook wav2vec 2.0 for Speech Recognition, better than OpenAI Whisper?

Easy and Quick Fine-tune facebook/mms-1b-all, wav2vec 2.0 model, to different languages using Python and Colab with GPU

Fine-tuning OpenAI Whisper for Speech Transcription with Custom Dataset

Easy and Quick Fine-tune OpenAI’s Whisper to different languages using Python and Colab with GPU.

Step By Step Tutorial Using DoRA & LoRA-C Combo to Fine-tune Detr-ResNet50 for object detection

In this video, I combine LoRA-C with DoRA to fine-tune Detr-ResNet50 for object detection task.

What is DoRA? PEFT for fine-tuning LLMs in 2025

In this video, I explain Weight-Decomposed Low Rank Adaption (DoRA) and its coding in python.

Step By Step Tutorial To Fine-Tune Detr-ResNet50 for object detection with LoRA-C

In this video, I fine-tune Detr-ResNet50 for object detection using CPPE-5 dataset and LoRA-C technique.

What is LoRA-C? PEFT for fine-tuning Computer Vision Models in 2025

In this video, I explain Low Rank Adaption (LoRA) technique on the famous convolutional layer.

What is LoRA? PEFT for fine-tuning LLMs in 2025

In this video, I explain Low Rank Adaption (LoRA) technique and its implementation with mlx python.

Learning Algorithms for Markovian bandits: Is posterior sampling more scalable than optimism?

In this video, I introduce my work with my supervisors about using Posterior Sampling Reinforcement Learning and Upper Confidence Reinforcement Learning algorithms in Markovian bandit problem. You can find our paper here: https://openreview.net/pdf?id=Sh3RF9JowK

Epidemic Simulation with code given

In this video, I explain my epidemic simulations in Khmer language but you can check out my gitlab which is written in English. The link is given here