Scaling RAG from POC to Production
Common challenges and architectural components to enable scaling- 23026Murphy2025-03-22
Understanding KL Divergence, Entropy, and Related Concepts
Important concepts in information theory, machine learning, and statistics- 29480Murphy2025-03-22
AI Agents: The Intersection of Tool Calling and Reasoning in Generative AI
Unpacking problem solving and tool-driven decision making in AI- 28976Murphy2025-03-22
How I Turned IPL Stats into a Mesmerizing Bar Chart Race
A step-by-step guide to creating captivating animated visualizations for data storytelling- 28608Murphy2025-03-22
Nine Rules for Running Rust in the Browser
Practical lessons from porting range-set-blaze to WASM- 24598Murphy2025-03-22
The Rise of Pallas: Unlocking TPU Potential with Custom Kernels
Accelerating AI/ML Model Training with Custom Operators - Part 3- 27922Murphy2025-03-22
Graph Neural Networks Part 2. Graph Attention Networks vs. GCNs
A model that pays attention to your graph- 22117Murphy2025-03-22
FormulaFeatures: A Tool to Generate Highly Predictive Features for Interpretable Models
Create more interpretable models by using concise, highly predictive features, automatically engineered based on arithmetic combinations of...- 29625Murphy2025-03-22
K Nearest Neighbor Regressor, Explained: A Visual Guide with Code Examples
Finding the neighbors FAST with KD Trees and Ball Trees- 25013Murphy2025-03-22
Still Manually Reviewing All User Interactions For Your AI Solutions?
Discover how to use cosine similarity to save hours and streamline your AI systems- 27199Murphy2025-03-22
Exploring the AI Alignment Problem with GridWorlds
It's difficult to build capable AI agents without encountering orthogonal goals- 26962Murphy2025-03-22
Make the Switch from Software Engineer to ML Engineer
7 steps that helped me transition from a software engineer to Machine Learning engineer- 21314Murphy2025-03-22
Supercharge Your LLM Apps using DSPy and Langfuse
Build Production Grade LLM Apps with Ease- 21471Murphy2025-03-22
How Did Open Food Facts Fix OCR-Extracted Ingredients Using Open-Source LLMs?
Delve into an end-to-end Machine Learning project to improve the quality of the Open Food Facts database- 21145Murphy2025-03-22
How to Improve Model Quality Without Building Larger Models
Going into the Google DeepMind's "Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters"- 29341Murphy2025-03-22
Implementing Sequential Algorithms on TPU
Accelerating AI/ML Model Training with Custom Operators - Part 3.A- 22256Murphy2025-03-22
The Most Valuable LLM Dev Skill is Easy to Learn, But Costly to Practice.
Here's how not to waste your budget on evaluating models and systems.- 26841Murphy2025-03-22
Fine-Tune Llama 3.2 for Powerful Performance on Targeted Tasks
Learn how you can fine-tune Llama3.2, Meta's most recent Large language model, to achieve powerful performance on targeted domains- 26885Murphy2025-03-22
A Deeper Dive into Odds Ratios Using Logistic Regression
A comprehensive guide on how to extract and explore odds ratios from a Logistic Regression model using Python and Statsmodels with examples- 23701Murphy2025-03-22
Forecasting with NHiTs: Uniting Deep Learning + Signal Processing Theory for Superior Accuracy
A high-performance DL model for all forecasting cases- 26305Murphy2025-03-22
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.