Tiny Llama – a Performance Review and Discussion
Learn how you can utilize a tiny large language model, fine-tune it, and achieve high performance- 20810Murphy2025-03-22
Bayesian Data Science: The What, Why, and How
Choosing between frequentist and Bayesian approaches is the great debate of the last century, with a recent surge in Bayesian adoption in...- 20402Murphy2025-03-22
Merging tokens to accelerate LLM inference with SLERP
We can significantly accelerate LLMs next token generation by merging consecutive pairs of tokens using SLERP, reducing the computing power...- 25131Murphy2025-03-22
3 Best Practices for Bridging the Gap Between Engineers and Analysts
Assigning code owners, hiring analytics engineers, and creating flywheels- 25017Murphy2025-03-22
The Math Behind "The Curse of Dimensionality"
Dive into the "Curse of Dimensionality" concept and understand the math behind all the surprising phenomena that arise in high dimensions.- 25125Murphy2025-03-22
The Elusive Challenge of Data Reconciliation in Large Organizations
How can we use clustering techniques to combine and refactor a large number of disparate dashboards?- 28819Murphy2025-03-22
Visualizing My Data Science Job Search
Reflections from a humbling journey trying to find a job in 2023- 29316Murphy2025-03-22
Quantization, Linear Regression, and Hardware for AI: Our Best Recent Deep Dives
Our weekly selection of must-read Editors' Picks and original features- 27254Murphy2025-03-22
Combining Storytelling and Design for Unforgettable Presentations
How to craft slide decks that stand out- 23691Murphy2025-03-22
Fine-tune Llama 3 with ORPO
A cheaper and faster unified fine-tuning technique- 21749Murphy2025-03-22
Complex List Comprehensions Can Be Readable!
Even quite complicated Python comprehensions can be more readable than the corresponding for loops.- 20240Murphy2025-03-22
Don't Crash Your App: Load Records from the Database in Batches for Better Performance
Save your Python app's performance by efficiently loading query- 27659Murphy2025-03-22
Designing the relationship between LLMs and user experience
How to make your LLM do the right things, and do them right- 23221Murphy2025-03-22
How to Read and Analyze GDAT Files Using Python
A quick tutorial on how to work with these computer-modelled binary files.- 21706Murphy2025-03-22
Label Studio Customized Backend for Semiautomatic Image Segmentation Labeling
Customized backend; GCP Deployment; Data Versioning with GCS Integration- 27487Murphy2025-03-22
Meta Llama 3 Optimized CPU Inference with Hugging Face and PyTorch
Learn how to reduce model latency when deploying Meta* Llama 3 on CPUs- 28524Murphy2025-03-22
Exploring Hierarchical Blending in Target Encoding
When can code hierarchies improve target encoding for high-cardinality categorical features?- 28752Murphy2025-03-22
Introduction to Multi-Stage Image Build for Python
This post introduces the Multi-Stage build approach for setting up a lightweight dockerized Python development environment.- 23512Murphy2025-03-22
Calculating the previous value in Power BI
Calculating the consumption based on meter data looks easy. However, complex situations can be challenging. Let's see how we can solve...- 22370Murphy2025-03-22
Evaluate anything you want | Creating advanced evaluators with LLMs
Discover how to build custom LLM evaluators for specific real-world needs.- 29933Murphy2025-03-22
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.