Simplifying Transformers: State of the Art NLP Using Words You Understand – part 3- Attention
Deep dive into the core technique of LLMs - attention- 30111Murphy2025-03-23
Can AI Really Help You at Passing Interviews?
Thoughts, tips, and some prompts- 21110Murphy2025-03-23
What Being a Full-Stack Data Scientist at a Startup Is Like
Constant acceleration, highly collaborative, and always learning- 26823Murphy2025-03-23
Towards Green AI: How to Make Deep Learning Models More Efficient in Production
From Academia to Industry: Finding the best trade-off between predictive performance and inference runtime for sustainability in Machine...- 21816Murphy2025-03-23
Enhancing RAG Pipelines in Haystack: Introducing DiversityRanker and LostInTheMiddleRanker
How the latest rankers optimize LLM context window utilization in Retrieval-Augmented Generation (RAG) pipelines- 20794Murphy2025-03-23
Metrics Layer: A Single Source of Truth for All KPI Definitions
Learn why implementing a metrics layer will make gathering data-driven insights much more robust in your organization!- 25974Murphy2025-03-23
RecList 2.0: Open-Source Systematic Testing of ML Models
A new RecList to provide more flexibility and better support for evaluation- 20187Murphy2025-03-23
Increase Llama 2's Latency and Throughput Performance by Up to 4X
Real-world benchmarks for Llama-2 13B- 23913Murphy2025-03-23
Machine Learning Engineers – what do they actually do?
Does Machine Learning Engineer mean something new to our field? If so, what?- 22097Murphy2025-03-23
Build More Capable LLMs with Retrieval Augmented Generation
How Retrieval Augmented Generation Can Enhance Your LLMs by Integrating a Knowledge Base- 23560Murphy2025-03-23
Fine-tuned LLMs for Sentiment Prediction – How to analyze and evaluate
Evaluation of models on Hugging Face for sentiment prediction- 26552Murphy2025-03-23
Visualised Explanation of PageRank
Discover how Google search engine ranks documents based on their link structure- 26332Murphy2025-03-23
Why You Need a Knowledge Graph, And How to Build It
A Guide to Migrating from a Relational Database to a Graph Database- 20940Murphy2025-03-23
XGBoost: The Definitive Guide (Part 1)
A step-by-step derivation of the popular XGBoost algorithm including a detailed numerical illustration- 24649Murphy2025-03-23
OCR-Free Document Data Extraction with Transformers (2/2)
Donut versus Pix2Struct on custom data- 22207Murphy2025-03-23
Evaluation Metrics for Recommendation Systems – An Overview
Understanding the purpose and functionality of common metrics in ML packages- 29798Murphy2025-03-23
Analyzing FC Barcelona's Defense From a Data Science Perspective
A visual data comparison to illustrate Barca's defense flaws- 25147Murphy2025-03-23
Interview Preparation: Causal Inference
Learn how to tackle interview questions related to causal inference, gaining insights into the core concepts and applications.- 25031Murphy2025-03-23
Variational Autoencoder (VAE) with Discrete Distribution using Gumbel Softmax
Theory and PyTorch Implementation- 23317Murphy2025-03-23
Optimizing Output File Size in Apache Spark
A Comprehensive Guide on Managing Partitions, Repartition, and Coealesce Operations- 25810Murphy2025-03-23
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.