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Building Your Own Personal AI Assistant: A Step-by-Step Guide to Build a Text and Voice Local LLM

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How Lucky is a Bowl of Lucky Charms?

tl;dr version: A team of students helped design and carry out an experiment to determine whether bowls of Lucky Charms are equally “lucky” over the course of a box of cereal. Turns out, not so much. We estimate a decrease

Diagram Share: The Evolution of Commercial Text-to-Video

Development of Text-to-Video in the latest 3 years History of of Commercial Text-to-Video in latest 3 years (as of March 2024) In recent years we have witnessed the emergence of commercial text-to-video models and products. I would like to share a self-created

Using Self-Organizing Map To Bolster Retrieval-Augmented Generation In Large Language Models

SOM is proposed to bolster efficient retrieval of LLM context for RAG… Photo by Werclive 👹 on Unsplash Background Large volumes of data are used to train Large Language Models (LLM) containing millions and billions of model parameters with the goal of

Building Your First Desktop Application using PySide6 [A Data Scientist Edition]

Surprise, surprise. It’s not as hard as I thought it would be. Continue reading on Towards Data Science »

Building a QA Research Chatbot with Amazon Bedrock and LangChain

Overview and Implementation with Python Continue reading on Towards Data Science »

Quantum Machine Learning with Python: Kernel Methods and Neural Networks

Photo by Annamária Borsos (used with permission) Introduction Quantum Machine Learning (QML) represents a fascinating convergence of quantum computing and machine learning technologies. With quantum computing’s potential in mathematics and data processing with complex structure, QML could revolutionize areas like