An Introduction To Fine-Tuning Pre-Trained Transformers Models
Simplified utilizing the HuggingFace trainer object- 21620Murphy2025-03-22
Reinforcement Learning 101: Building a RL Agent
Decoding the Math behind Reinforcement Learning, introducing the RL Framework, and building one RL simulation from scratch in Python.- 23345Murphy2025-03-22
An Introduction to Air Travel Network Optimization Using Mixed Integer Programming
How to design an algorithm to route passenger demand across a network in the most cost-effective manner- 20997Murphy2025-03-22
Advanced Retrieval-Augmented Generation: From Theory to LlamaIndex Implementation
How to address limitations of naive RAG pipelines by implementing targeted advanced RAG techniques in Python- 25060Murphy2025-03-22
Database Data Transformation for Data Engineers
Advanced techniques for beginners- 25458Murphy2025-03-22
Satellites Can See Invisible Lava Flows and Active Wildires, But How? (Python)
Table of Contents- 21341Murphy2025-03-22
Editing Text in Images with AI
Research Review for Scene Text Editing: STEFANN, SRNet, TextDiffuser, AnyText and more.- 26575Murphy2025-03-22
Interpreting R²: a Narrative Guide for the Perplexed
An accessible walkthrough of fundamental properties of this popular, yet often misunderstood metric from a predictive modeling perspective- 30135Murphy2025-03-22
Evaluations with Chat Formats
Applying chat templates to generative LM evaluation tests- 23599Murphy2025-03-22
How to Create Powerful Embeddings from Your Data to Feed into Your AI
This article will show you different approaches you can take to create embeddings for your data- 23166Murphy2025-03-22
Four elephants in a room with chatbots
Language processing in humans and computers: Afterthoughts following Part 1 Content: The first elephant in the room: The Web The second elephant in the room: The pocket calculator The third elephant in the room: Hallucinations The fourth elephant in the r- 25050Murphy2025-03-22
Easy Methods for Causal Inference
Use your favorite models in combination with meta-learners to make valid causal statements- 28465Murphy2025-03-22
How OpenAI's Sora is Changing the Game: An Insight into Its Core Technologies
A masterpiece of state of the art technologies- 27051Murphy2025-03-22
The Journey of RAG Development: From Notebook to Microservices
Converting a Colab notebook to two microservices with support for Milvus and NeMo Guardrails- 21383Murphy2025-03-22
Using IPython Jupyter Magic Commands to Improve the Notebook Experience
A post on creating a custom IPython Jupyter Magic command- 23593Murphy2025-03-22
GPT Model: How Does it Work?
Let's look together under the hood with Python and PyTorch- 26614Murphy2025-03-22
6 Step Framework to Manage Reputational & Ethical Risks of Generative AI in Your Product
A pragmatic guide to understand AI risks and build trust with users through responsible AI development- 27014Murphy2025-03-22
Using Bayesian Modeling to Predict The Champions League
Bayesian Inference Applied to Real-World Examples- 22760Murphy2025-03-22
Graph Theory to Harmonize Model Integration
Optimising multi-model collaboration with graph-based orchestration- 28771Murphy2025-03-22
End-to-End Machine Learning in Azure
How to train and deploy a machine learning model in Azure- 28738Murphy2025-03-22
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
