📌 Einstein Notation: A New Lens on Transformers

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-20 | ⏱️ Read time: 9 min read

Transforming the Math of the Transformer Model

📌 Collision Risk in Hash-Based Surrogate Keys

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-11-20 | ⏱️ Read time: 14 min read

Various aspects and real-life analogies of the odds of having a hash collision when computing…

📌 How to Answer Business Questions with Data

🗂 Category: BUSINESS

🕒 Date: 2024-11-19 | ⏱️ Read time: 15 min read

Data analysis is the key to drive business decisions through answering abstract business questions but…

📌 Third-Year Work Anniversary as a Data Scientist: Growth, Reflections and Acceptance

🗂 Category: CAREER ADVICE

🕒 Date: 2024-11-19 | ⏱️ Read time: 8 min read

A letter to myself and fellow data scientists

📌 Linear programming: Integer Linear Programming with Branch and Bound

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-19 | ⏱️ Read time: 11 min read

Part 4: Extending linear programming optimization to discrete decision variables

📌 NLP Illustrated, Part 1: Text Encoding

🗂 Category: DEEP LEARNING

🕒 Date: 2024-11-19 | ⏱️ Read time: 10 min read

An illustrated guide to text-to-number translation, with code

📌 The Root Cause of Why Organizations Fail With Data & AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-19 | ⏱️ Read time: 34 min read

A guide to be successful with the strategic groundwork required

📌 Multimodal Models – LLMs that can see and hear

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-19 | ⏱️ Read time: 10 min read

An introduction with example Python code

📌 Dance between dense and sparse embeddings: Enabling Hybrid Search in LangChain-Milvus

🗂 Category:

🕒 Date: 2024-11-19 | ⏱️ Read time: 7 min read

Dance Between Dense and Sparse Embeddings: Enabling Hybrid Search in LangChain-Milvus How to create and…

📌 Building a Local Voice Assistant with LLMs and Neural Networks on Your CPU Laptop

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-19 | ⏱️ Read time: 6 min read

A practical guide to run lightweight LLMs using python

📌 The Metrics of Continual Learning

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-18 | ⏱️ Read time: 4 min read

These three metrics are commonly used

📌 Increasing Transformer Model Efficiency Through Attention Layer Optimization

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-18 | ⏱️ Read time: 16 min read

How paying “better” attention can drive ML cost savings

📌 Navigating Networks with NetworkX: A Short Guide to Graphs in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-18 | ⏱️ Read time: 16 min read

Explore NetworkX for building, analyzing, and visualizing graphs in Python. Discovering Insights in Connected Data.

📌 Creating a frontend for your ML application with Vercel V0

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-18 | ⏱️ Read time: 9 min read

Develop an appealing frontend application using v0 by Vercel

📌 Data Validation with Pandera in Python

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-18 | ⏱️ Read time: 10 min read

Validating your Dataframes for Production ML Pipelines

📌 From Local to Cloud: Estimating GPU Resources for Open-Source LLMs

🗂 Category:

🕒 Date: 2024-11-18 | ⏱️ Read time: 4 min read

Estimating GPU memory for deploying the latest open-source LLMs

📌 How to Reduce Python Runtime for Demanding Tasks

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-17 | ⏱️ Read time: 8 min read

Practical techniques to accelerate heavy workloads with GPU optimization in Python

📌 Spoiler Alert: The Magic of RAG Does Not Come from AI

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-11-17 | ⏱️ Read time: 10 min read

Why retrieval, not generation, makes RAG systems magical

📌 Exploring Music Transcription with Multi-Modal Language Models

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-17 | ⏱️ Read time: 21 min read

Using Qwen2-Audio to transcribe music into sheet music

📌 Open the Artificial Brain: Sparse Autoencoders for LLM Inspection

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-11-16 | ⏱️ Read time: 15 min read

A deep dive into LLM visualization and interpretation using sparse autoencoders

📌 Why Most Cross-Validation Visualizations Are Wrong (And How to Fix Them)

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-16 | ⏱️ Read time: 12 min read

Stop using moving boxes!