Exploring "Small" Vision-Language Models with TinyGPT-V
TinyGPT-V is a "small" vision-language model that can run on a single GPU.- 26143Murphy2025-03-22
Advanced Query Transformations to Improve RAG
Different approaches to query transformations- 22181Murphy2025-03-22
Testing in Practice: Code, Data and ML Model
A guide to testing in MLOps- 23146Murphy2025-03-22
Trends that will shape the Modern Data Stack in 2024
Gen AI, Data Mesh, Regulation and Observability. 2024 is going to be a fun year!- 25535Murphy2025-03-22
Designing AI-Driven Software Engineering Teams
Gen AI is about to disrupt the way we develop applications today. Learn how it will impact tech teams and what we can do about it- 28135Murphy2025-03-22
Enhancing Data Science Workflows: Mastering Version Control for Jupyter Notebooks
A hands-on guide to facilitate collaboration and reproducibility with Jupytext, nbstripout, and nbconvert- 28872Murphy2025-03-22
Optimization of Nonlinear Functions via Piecewise Linearization
A step-by-step example.- 28479Murphy2025-03-22
Visualisation 101: Choosing the Best Visualisation Type
Comprehensive guide for different visualisation use cases- 20514Murphy2025-03-22
Spotting Spatiotemporal Patterns in Earthquake Data
Use density-based clustering and survival analysis to estimate when earthquakes occur- 24903Murphy2025-03-22
Hosting Multiple LLMs on a Single Endpoint
Utilize SageMaker Inference Components to Host Flan & Falcon in a Cost & Performance Efficient Manner- 29809Murphy2025-03-22
Maximizing Python Code Efficiency: Strategies to Overcome Common Performance Hurdles
Navigating Nested Loops and Memory Challenges for Seamless Performance using Python- 26463Murphy2025-03-22
LLMs for Everyone: Running the HuggingFace Text Generation Inference in Google Colab
Experimenting with Large Language Models for free (Part 3)- 25931Murphy2025-03-22
Using RabbitMQ Streams in Go
Learn how to use RabbitMQ Streams using both Core and Plugin in this tutorial- 30017Murphy2025-03-22
Demystifying Confidence Intervals with Examples
Navigating through uncertainty in data for extracting global statistical insights- 28795Murphy2025-03-22
Synthetic Data: The Good, the Bad and the Unsorted
A legal take on using synthetic data for AI training- 21483Murphy2025-03-22
Closing the Gap Between Machine Learning and Business
What would you say it is you do here?- 28787Murphy2025-03-22
5 Steps to Build Beautiful Stacked Area Charts with Python
How to use the full capabilities of Matplotlib to tell a more compelling story- 26520Murphy2025-03-22
Graph & Geometric ML in 2024: Where We Are and What's Next (Part I – Theory &
Trends and recent advancements in Graph and Geometric Deep Learning- 20397Murphy2025-03-22
Time Series Prediction with Transformers
A Complete Guide to Transformers in Pytorch- 28917Murphy2025-03-22
Unlocking Data from Graphs: How to Digitise Plots and Figures with WebPlotDigitizer
Unlocking Digital Potential from Static Image Data- 22704Murphy2025-03-22
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.