📌 Is ReFT All We Needed?

🗂 Category: DEEP LEARNING

🕒 Date: 2024-11-21 | ⏱️ Read time: 6 min read

Representation Fintuning – Beyond the PEFT Techniques for fine-tuning LLMs

📌 How to Build a Data-Driven Customer Management System

🗂 Category: BUSINESS

🕒 Date: 2024-11-20 | ⏱️ Read time: 16 min read

A High-Level Framework for Building a CBM System with Strategic Impact

📌 Boost Your Python Code with CUDA

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-20 | ⏱️ Read time: 12 min read

Target your GPU easily with Numba’s CUDA JIT

📌 Your Data Quality Checks Are Worth Less (Than You Think)

🗂 Category: ANALYTICS

🕒 Date: 2024-11-20 | ⏱️ Read time: 6 min read

How to deliver outsized value on your data quality program

📌 Building a Research Assistant That Can Write to Google Docs (Part 2)

🗂 Category: MACHINE LEARNING

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

A tool that might help with your homework

📌 Building a Research Agent That Can Write to Google Docs (Part 1)

🗂 Category:

🕒 Date: 2024-11-20 | ⏱️ Read time: 18 min read

A tool that might help with your homework

📌 LoRA Fine-Tuning On Your Apple Silicon MacBook

🗂 Category:

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

Let’s Go Step-By-Step Fine-Tuning On Your MacBook

📌 Water Cooler Small Talk: Why Does the Monty Hall Problem Still Bother Us?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-11-20 | ⏱️ Read time: 10 min read

A look at the counterintuitive mathematics of game show puzzles

📌 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.