📌 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!

📌 Introduction to the Finite Normal Mixtures in Regression with

🗂 Category:

🕒 Date: 2024-11-15 | ⏱️ Read time: 8 min read

In this post, we demonstrate how to simulate a finite mixture model for regression using…

📌 ROI Worship Can Be Bad For Business

🗂 Category: BUSINESS

🕒 Date: 2024-11-15 | ⏱️ Read time: 8 min read

Watch out for these three ways too much of a good thing can be dangerous

📌 Field Boundary Detection in Satellite Imagery Using the SAM2 Model

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-15 | ⏱️ Read time: 14 min read

Step-by-Step Tutorial on Applying Segment Anything Model Version 2 to Satellite Imagery for Detecting and…

📌 Rewiring My Career: How I Transitioned from Electrical Engineering to Data Engineering

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-11-15 | ⏱️ Read time: 12 min read

Data is booming and so are the job opportunities in this field. A must read…

📌 Techniques for Chat Data Analytics with Python

🗂 Category: DATA SCIENCE

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

Part II: Topic Extraction with BERTopic

📌 Gradient Boosting Regressor, Explained: A Visual Guide with Code Examples

🗂 Category: MACHINE LEARNING

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

Fitting to errors one booster stage at a time