📌 Advanced Recursive and Follow-Up Retrieval Techniques For Better RAGs

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-12 | ⏱️ Read time: 18 min read

Breaking the problem solves half of it. Chaining them makes it even better.

📌 AI Agents – From Concepts to Practical Implementation in Python

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-12 | ⏱️ Read time: 12 min read

This will change the way you think about AI and its capabilities

📌 How to practice data analyst interviews with AI

🗂 Category:

🕒 Date: 2024-08-12 | ⏱️ Read time: 8 min read

Using LLMs to generate synthetic data and code

📌 Top Career Websites for Data Engineers

🗂 Category: ANALYTICS

🕒 Date: 2024-08-11 | ⏱️ Read time: 9 min read

How to find fantastic remote jobs and get hired

📌 Accelerating AI/ML Model Training with Custom Operators

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-11 | ⏱️ Read time: 18 min read

On the potential benefits of creating model-specific GPU kernels and their application to optimizing the…

📌 Introduction to Support Vector Machines - Motivation and Basics

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-10 | ⏱️ Read time: 8 min read

Learn basic concepts that make Support Vector Machine a powerful linear classifier

📌 Denormalisation: Thoughtful Optimisation or Irrational Avant-Garde?

🗂 Category: DATA SCIENCE

🕒 Date: 2024-08-10 | ⏱️ Read time: 19 min read

Perspective on Performance Optimisation and Data Quality

📌 Which Regression technique should you use?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-10 | ⏱️ Read time: 12 min read

Here’s a taxonomy of what is the best regression technique based on your specific dataset

📌 Data Scaling 101: Standardization and Min-Max Scaling Explained

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-08-10 | ⏱️ Read time: 5 min read

When to use MinMaxScaler vs StandardScaler vs something else

📌 Algorithm-Agnostic Model Building with MLflow

🗂 Category: MACHINE LEARNING

🕒 Date: 2024-08-10 | ⏱️ Read time: 10 min read

A beginner-friendly step-by-step guide to creating generic ML pipelines using mlflow.pyfunc

📌 Running a SOTA 7B Parameter Embedding Model on a Single GPU

🗂 Category:

🕒 Date: 2024-08-09 | ⏱️ Read time: 19 min read

In this post I will explain how to run a state-of-the-art 7B parameter LLM based…

📌 Improving Code Quality During Data Transformation with Polars

🗂 Category:

🕒 Date: 2024-08-09 | ⏱️ Read time: 6 min read

Optimize your data workflows with Polars by improving code quality and refining transformations with these…

📌 Structured Outputs and How to Use Them

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 5 min read

Building robustness and determinism in LLM applications

📌 Pre-Commit & Git Hooks: Automate High Code Quality

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 6 min read

How to improve your code quality with pre-commit and git hooks

📌 KernelSHAP can be misleading with correlated predictors

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 7 min read

A concrete case study

📌 AI for the Absolute Novice – Intuitively and Exhaustively Explained

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 40 min read

From “I’ve never coded” to making an AI model from scratch.

📌 LLMOps – Serve a Llama-3 model with BentoML

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 5 min read

Quickly set up LLM APIs with BentoML and Runpod

📌 We Need to Raise the Bar for AI Product Managers

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 10 min read

How to Stop Blaming the ‘Model’ and Start Building Successful AI Products

📌 Create Stronger Decision Trees with bootstrapping and genetic algorithms

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-09 | ⏱️ Read time: 31 min read

A technique to better allow decision trees to be used as interpretable models

📌 Ask Not What AI Can Do for You – Ask What You Can Achieve with AI

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-08-08 | ⏱️ Read time: 11 min read

Unlock AI for Everyone: Discover How You Can Use LLMs in Everyday Tasks