📌 The Multi-Armed Bandit Problem-A Beginner-Friendly Guide

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-23 | ⏱️ Read time: 6 min read

Understanding the exploitation-exploration trade-off with an example

📌 Creating a WhatsApp AI Agent with GPT-4o

🗂 Category:

🕒 Date: 2024-12-22 | ⏱️ Read time: 23 min read

How to use the Meta API to build your own LLM-powered Whatsapp chatbot

📌 How (and Where) ML Beginners Can Find Papers

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-12-22 | ⏱️ Read time: 8 min read

From conferences to surveys

📌 Conditional Variational Autoencoders for Text to Image Generation

🗂 Category: DEEP LEARNING

🕒 Date: 2024-12-21 | ⏱️ Read time: 13 min read

Investigating an early generative architecture and applying it to image generation from text input

📌 The 80/20 problem of generative AI – a UX research insight

🗂 Category: GENERATIVE AI

🕒 Date: 2024-12-21 | ⏱️ Read time: 4 min read

When an LLM solves a task 80% correctly, that often only amounts to 20% of…

📌 How to Ensure the Stability of a Model Using Jackknife Estimation

🗂 Category: DATA SCIENCE

🕒 Date: 2024-12-21 | ⏱️ Read time: 6 min read

How to ensure the robustness of a model and detect influential data observations

📌 Five Key Lessons for Google Earth Engine Beginners

🗂 Category: CLIMATE CHANGE

🕒 Date: 2025-01-20 | ⏱️ Read time: 10 min read

Hands-On Insights from a Python API user

📌 The Concepts Data Professionals Should Know in 2025: Part 2

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-20 | ⏱️ Read time: 14 min read

From AI Agent to Human-In-The-Loop – Master 12 critical data concepts and turn them into…

📌 The Rise of Semantic Entity Resolution

🗂 Category: AGENTIC AI

🕒 Date: 2025-09-14 | ⏱️ Read time: 22 min read

Semantic entity resolution uses language models to bring an increased level of automation to schema…

📌 No Peeking Ahead: Time-Aware Graph Fraud Detection

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-09-14 | ⏱️ Read time: 15 min read

How to implement leak-free graph fraud detection

📌 How Large Language Models (LLMs) Learn: Playing Games

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-09 | ⏱️ Read time: 7 min read

LLMs are just professional Mad Libs Players

📌 LLM Evaluation, Parallel Computing, Demand Forecasting, and Other Hands-On Data Science Approaches

🗂 Category: DATA SCIENCE

🕒 Date: 2025-01-09 | ⏱️ Read time: 4 min read

Our weekly selection of must-read Editors’ Picks and original features

📌 Advanced Pandas Techniques for Data Processing and Performance

🗂 Category:

🕒 Date: 2025-01-09 | ⏱️ Read time: 8 min read

Hands-on approach from chunked processing to parallel execution

📌 Are Meta’s AI Profiles Unethical?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-09 | ⏱️ Read time: 12 min read

As AI becomes further enmeshed into every product we use, what rules should exist to…

📌 Speed Up PyTorch With Custom Kernels. But It Gets Progressively Darker

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-01-09 | ⏱️ Read time: 5 min read

We’ll begin with torch.compile, move on to writing a custom Triton kernel, and finally dive…

📌 How to Enrich LLM Context to Significantly Enhance Capabilities

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-09-16 | ⏱️ Read time: 9 min read

Learn how to empower your LLMs by leveraging additional metadata

📌 Why Your A/B Test Winner Might Just Be Random Noise

🗂 Category: DATA SCIENCE

🕒 Date: 2025-09-16 | ⏱️ Read time: 6 min read

What a coach’s warm-up trial can teach us about running better experiments

📌 A New Approach to AI Safety: Layer Enhanced Classification (LEC)

🗂 Category:

🕒 Date: 2024-12-20 | ⏱️ Read time: 9 min read

LEC surpasses best in class models, like GPT-4o, by combining the efficiency of a ML…

📌 Semantically Compress Text to Save On LLM Costs

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2024-12-20 | ⏱️ Read time: 9 min read

LLMs are great… if they can fit all of your data.

📌 Introducing Layer Enhanced Classification (LEC)

🗂 Category:

🕒 Date: 2024-12-20 | ⏱️ Read time: 13 min read

A novel approach for lightweight safety classification using pruned language models