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- 28088Murphy2025-03-23
Build and Play! Your Own V&L Model Equipped with LLM!
Developping LLM-integrated GIT vision language models.- 23161Murphy2025-03-23
What's new in pandas 2.1
The most interesting things about the new release- 28062Murphy2025-03-23
The two envelopes problem
How time and causality are emerging from randomness- 20791Murphy2025-03-23
Model Explainability, Revisited: SHAP and Beyond
Our weekly selection of must-read Editors' Picks and original features- 25499Murphy2025-03-23
Classification With Rosenblatt's Perceptron
The "hello-world" of machine learning- 22689Murphy2025-03-23
BYOL -The Alternative to Contrastive Self-Supervised Learning
Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning by J. Grill et. al.- 26240Murphy2025-03-23
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- 27381Murphy2025-03-23
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.- 22429Murphy2025-03-23
From Encodings to Embeddings
concepts and fundamentals: from SVD to neural networks- 26598Murphy2025-03-23
Topics per Class Using BERTopic
How to understand the differences in texts by categories- 23181Murphy2025-03-23
Fine-Tuning Large Language Models (LLMs)
A conceptual overview with example Python code- 28417Murphy2025-03-23
Can Transformers Learn to Strategize?
TicTacGPT for playing simple board games- 25958Murphy2025-03-23
The Facility Dispersion Problem: Mixed-Integer Programming Models
A comprehensive Python tutorial on the p-dispersion and maxisum models- 28948Murphy2025-03-23
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...- 20526Murphy2025-03-23
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- 25384Murphy2025-03-23
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?- 27387Murphy2025-03-23
Your Own Personal ChatGPT
How you can fine-tune OpenAI's GPT-3.5 Turbo model to perform new tasks using your custom data- 27906Murphy2025-03-23
A Primer on Foundational Concepts You Need to Start Running Statistical Tests
Quantitative study design, significance testing, and different classes of statistical tests.- 22572Murphy2025-03-23
Large Language Models: SBERT – Sentence-BERT
Learn how siamese BERT networks accurately transform sentences into embeddings- 25611Murphy2025-03-23
The current state of continual learning in AI
Why is ChatGPT only trained up until 2021?
Optimizing Pandas Code: The Impact of Operation Sequence
Learn how to rearrange your code to achieve significant speed improvements.