Leveraging qLoRA for Fine-Tuning of Task-Fine-Tuned Models Without Catastrophic Forgetting
Learn how to infuse knowledge into purpose-fine-tuned models while keeping their task-specific nature- 28128Murphy2025-03-23
Build and Play! Your Own V&L Model Equipped with LLM!
Developping LLM-integrated GIT vision language models.- 23200Murphy2025-03-23
What's new in pandas 2.1
The most interesting things about the new release- 28104Murphy2025-03-23
The two envelopes problem
How time and causality are emerging from randomness- 20830Murphy2025-03-23
Model Explainability, Revisited: SHAP and Beyond
Our weekly selection of must-read Editors' Picks and original features- 25541Murphy2025-03-23
Classification With Rosenblatt's Perceptron
The "hello-world" of machine learning- 22727Murphy2025-03-23
BYOL -The Alternative to Contrastive Self-Supervised Learning
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning by J. Grill et. al.- 26281Murphy2025-03-23
Highlights on Large Language Models at KDD 2023
Were you not able to attend KDD? Learn from my summary about the hottest topic at the conference: LLMs- 27420Murphy2025-03-23
The Lombard Effect And How It Can Help With Hearing Impairment
TL;DR: The Lombard effect can be applied to Voice Conversion and Text-to-speech to make the synthetic voice more understandable in noise.- 22469Murphy2025-03-23
From Encodings to Embeddings
concepts and fundamentals: from SVD to neural networks- 26639Murphy2025-03-23
Topics per Class Using BERTopic
How to understand the differences in texts by categories- 23221Murphy2025-03-23
Fine-Tuning Large Language Models (LLMs)
A conceptual overview with example Python code- 28456Murphy2025-03-23
Can Transformers Learn to Strategize?
TicTacGPT for playing simple board games- 25997Murphy2025-03-23
The Facility Dispersion Problem: Mixed-Integer Programming Models
A comprehensive Python tutorial on the p-dispersion and maxisum models- 28988Murphy2025-03-23
Assessing Urban Green Equality Using Vienna's Open Data Portal
Despite their many advantages, accessing nature and green spaces is getting increasingly difficult in highly urbanized areas. Some fear...- 20568Murphy2025-03-23
Build a data science strategy for anyteams of any size with this one article consultants don't
Create a culture and practice that is fast moving and resilient to change- 25423Murphy2025-03-23
Ensemble Learning with Scikit-Learn: A Friendly Introduction
Ensemble learning algorithms like XGBoost or Random Forests are among the top-performing models in Kaggle competitions. How do they work?- 27426Murphy2025-03-23
Your Own Personal ChatGPT
How you can fine-tune OpenAI's GPT-3.5 Turbo model to perform new tasks using your custom data- 27947Murphy2025-03-23
A Primer on Foundational Concepts You Need to Start Running Statistical Tests
Quantitative study design, significance testing, and different classes of statistical tests.- 22616Murphy2025-03-23
Large Language Models: SBERT – Sentence-BERT
Learn how siamese BERT networks accurately transform sentences into embeddings- 25650Murphy2025-03-23
Genius Cliques: Mapping out the Nobel Network
Combining Network Science, Data Visualization, and Wikipedia to uncover hidden connections between all the Nobel laureates.
Data Science Expertise Comes in Many Shapes and Forms
Our weekly selection of must-read Editors' Picks and original features