DeepGuide for DeepSeek

Four LLM trends since ChatGPT and their implications for AI builders
In October 2022, I published an article on LLM selection for specific NLP use cases , such as conversation, translation and summarisation...
29277Murphy2025-03-23
Unraveling the Design Pattern of Physics-Informed Neural Networks: Part 03
Welcome to the 3rd blog of this series, where we continue our exciting journey of exploring design patterns of physics-informed neural networks (PINN). In this blog, we will look into training PINNs with gradient boosting, an exciting fusion of neural net
28413Murphy2025-03-23
Lineage + Hamilton in 10 minutes
Spend less time debugging your pipelines by using Hamilton's out of the box lineage capabilities.
25414Murphy2025-03-23
Why are language models everywhere?
The answer lies in the 75 years of NLP history
28167Murphy2025-03-23
MDM as the Launching Pad for Your Data Governance Journey
A roadmap to enterprise-wide data management maturity
23559Murphy2025-03-23
Data Science Expertise Comes in Many Shapes and Forms
Our weekly selection of must-read Editors' Picks and original features
25707Murphy2025-03-23
How Do We Know if a Text Is AI-generated?
Different Statistical Approaches to Detecting AI-generated Text.
21417Murphy2025-03-23
Testing the Massively Multilingual Speech (MMS) Model that Supports 1162 Languages
Explore the cutting-edge multilingual features of Meta's latest automatic speech recognition (ASR) model
29270Murphy2025-03-23
KServe: Highly scalable machine learning deployment with Kubernetes
Kubenetes model inferencing made easy.
21416Murphy2025-03-23
Supercharge Your Spreadsheets with ChatGPT
Redefine the way you work with spreadsheets.
22730Murphy2025-03-23
Mastering Synchronization Primitives in Python Asyncio: A Comprehensive Guide
Best practices for asyncio.Lock, asyncio.Semaphore, asyncio.Event and asyncio.Condition
24263Murphy2025-03-23
Deep Dive into Softmax Regression
Understand the math behind softmax regression and how to use it to solve an image classification task
24887Murphy2025-03-23
Finding Temporal Patterns in Twitter Posts: Exploratory Data Analysis with Python
Clustering of Twitter data with Python, K-Means, and t-SNE
23862Murphy2025-03-23
XGBoost: How Deep Learning Can Replace Gradient Boosting and Decision Trees – Part 1
In this article, you will learn about rewriting decision trees using a Differentiable Programming approach, as proposed by the NODE paper...
20374Murphy2025-03-23
Should Deepfakes be Open-Sourced?
The purpose of this article is to try and start a conversation about open-sourcing in deepfake research. I cover the pros and cons.
25550Murphy2025-03-23
Visualizations of Embeddings
I submitted my first paper on AI in 1990 to a small, local conference - the "Midwest Artificial Intelligence and Cognitive Science...
24536Murphy2025-03-23
Forward and Backward Mapping for Computer Vision
Forward Mapping and Backward Mapping applied to the transformation of images
27361Murphy2025-03-23
How Python Enumerations Make Data Configuration Elegant
An introduction to using Enums in Python for ML projects
29147Murphy2025-03-23
Crossing the Bridge: A Comparison of Data Science in Academia and Industry
A Ph.D. student's exploration of the surprising parallels between academic and industrial data science
21057Murphy2025-03-23
Unraveling the Design Pattern of Physics-Informed Neural Networks: Part 04
Leveraging gradient-enhanced learning to improve PINN training efficiency
22863Murphy2025-03-23

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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.

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