📌 Optimize Production with R - Part I

🗂 Category:

🕒 Date: 2024-06-11 | ⏱️ Read time: 8 min read

An introduction to linear programming with R

📌 How I Built an LLM-Based Game from Scratch

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 17 min read

Part I: Game concepts and Causal Graphs for LLMs

🤖🧠 NVIDIA, MIT, HKU and Tsinghua University Introduce QeRL: A Powerful Quantum Leap in Reinforcement Learning for LLMs

🗓️ 17 Oct 2025
📚 AI News & Trends

The rise of large language models (LLMs) has redefined artificial intelligence powering everything from conversational AI to autonomous reasoning systems. However, training these models especially through reinforcement learning (RL) is computationally expensive requiring massive GPU resources and long training cycles. To address this, a team of researchers from NVIDIA, Massachusetts Institute of Technology (MIT), The ...

#QuantumLearning #ReinforcementLearning #LLMs #NVIDIA #MIT #TsinghuaUniversity

📌 SQL Explained: Ranking Analytics

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-06-11 | ⏱️ Read time: 11 min read

What they are and how you use them

📌 Anatomy of Windows Functions

🗂 Category: DATA ENGINEERING

🕒 Date: 2024-06-11 | ⏱️ Read time: 15 min read

Theory and practice of an underappreciated SQL operation

📌 Reinforcement Learning, Part 4: Monte Carlo Control

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-11 | ⏱️ Read time: 17 min read

Harnessing Monte Carlo algorithms to discover the best strategies

📌 Spatial Index: Space-Filling Curves

🗂 Category: DATABASE DESIGN

🕒 Date: 2024-06-11 | ⏱️ Read time: 11 min read

Spatial Index and Space Filling Curves for Multi-dimensional data

🤖🧠 Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents

🗓️ 17 Oct 2025
📚 AI News & Trends

AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ...

#AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization

📌 Task-Aware RAG Strategies for When Sentence Similarity Fails

🗂 Category: DATA SCIENCE

🕒 Date: 2024-06-10 | ⏱️ Read time: 19 min read

When retrieval is based on an additional metric besides just sentence similarity, traditional methods perform…

📌 Analyzing Lake Mendota Ice Phenology with Python

🗂 Category: CLIMATE CHANGE

🕒 Date: 2024-06-10 | ⏱️ Read time: 10 min read

An analysis-ready dataset you can use right now

📌 Building a Data Engineering Center of Excellence

🗂 Category: DATA ENGINEERING

🕒 Date: 2025-02-13 | ⏱️ Read time: 11 min read

As data continues to grow in importance and become more complex, the need for skilled…

📌 Learnings from a Machine Learning Engineer — Part 5: The Training

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-02-13 | ⏱️ Read time: 16 min read

In this fifth part of my series, I will outline the steps for creating a…

📌 Learnings from a Machine Learning Engineer — Part 3: The Evaluation

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-02-13 | ⏱️ Read time: 13 min read

In this third part of my series, I will explore the evaluation process which is…

📌 Learnings from a Machine Learning Engineer — Part 1: The Data

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-02-13 | ⏱️ Read time: 13 min read

It is said that in order for a machine learning model to be successful, you…

📌 Learnings from a Machine Learning Engineer — Part 4: The Model

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-02-13 | ⏱️ Read time: 8 min read

In this latest part of my series, I will share what I have learned on…

📌 Learnings from a Machine Learning Engineer — Part 2: The Data Sets

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-02-13 | ⏱️ Read time: 10 min read

In Part 1, we discussed the importance of collecting good image data and assigning proper labels…

🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

🗓️ 18 Oct 2025
📚 AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel

🤖🧠 Sora: OpenAI’s Breakthrough Text-to-Video Model Transforming Visual Creativity

🗓️ 18 Oct 2025
📚 AI News & Trends

Introduction Artificial Intelligence (AI) is rapidly transforming the creative world. From generating realistic images to composing music and writing code, AI has redefined how humans interact with technology. But one of the most revolutionary advancements in this domain is Sora, OpenAI’s text-to-video generative model that converts written prompts into hyper-realistic video clips. Ithas captured global ...

#Sora #OpenAI #TextToVideo #AI #VisualCreativity #GenerativeModel

📌 Machine Learning Meets Panel Data: What Practitioners Need to Know

🗂 Category: MACHINE LEARNING

🕒 Date: 2025-10-17 | ⏱️ Read time: 8 min read

How to avoid overestimating machine learning models’ performance, usefulness, and real-world applicability due to hidden…

📌 How to Classify Lung Cancer Subtype from DNA Copy Numbers Using PyTorch

🗂 Category: DEEP LEARNING

🕒 Date: 2025-10-17 | ⏱️ Read time: 12 min read

A step-by-step introduction to understanding cancer from the perspective of a data scientist.