Introduction Natural language processing has moved rapidly from research labs to real business use. Today, LLM-powered systems support customer service, knowledge management, document summarisation,...
About Neri Van Otten
Neri Van Otten is the founder of Spot Intelligence, a machine learning engineer with over 12 years of experience specialising in Natural Language Processing (NLP) and deep learning innovation. Dedicated to making your projects succeed.
Posts By Neri Van Otten
Synthetic Data Generation for NLP: Benefits, Risks, and Best Practices
Introduction In today’s AI-driven world, data is often called the new oil—and for good reason. High-quality, diverse datasets are the backbone of machine learning, powering everything from...
Hallucinations In LLMs Made Simple: Causes, Detection, And Mitigation Strategies
Introduction Large language models (LLMs) have rapidly become a core component of modern NLP applications, powering chatbots, search assistants, summarization tools, and decision-support systems....
LMOps Made Simple With Extensive Guide: Including Tools List
Introduction: Why LMOps Exist Large Language Models have moved faster than almost any technology in recent memory. In a short time, teams have gone from experimenting with prompts in a browser to...
Stochastic Modelling Made Simple and Step-by-step Tutorial
Introduction Uncertainty is everywhere. Whether we're forecasting tomorrow's weather, predicting customer demand, estimating equipment failure, or modelling the spread of a disease, the truth is the...
Agentic AI Explained and Made Simple With Step-by-Step Guide
Introduction Over the past few years, artificial intelligence has moved from simple pattern recognition to systems capable of performing highly complex tasks with minimal human input. But a new...
Entropy In Information Theory Made Simple With Examples & Python Tutorial
Introduction In a world overflowing with data, one question quietly sits at the heart of every message we send, every prediction we make, and every system we build: how much uncertainty is there?...
Genetic Algorithms Made Simple With Examples And Parameter Tuning
Introduction Imagine nature as the world's most powerful problem solver — endlessly experimenting, selecting, and refining through millions of years of evolution. What if we could capture that same...
Taylor Series Made Simple With Examples And Applications
Introduction: The Magic of Approximation Have you ever wondered how your calculator instantly knows the value of sin(30°), e², or ln(5)? Behind that apparent magic lies a mathematical masterpiece...
![Hill Climbing Algorithm In AI Made Simple [Examples & How To Tutorial]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/10/graph.png?fit=1276%2C1266&ssl=1)
Hill Climbing Algorithm In AI Made Simple [Examples & How To Tutorial]
Introduction In the world of Artificial Intelligence (AI), many problems—such as route optimisation, game strategy, or model tuning—reduce to a straightforward question: How can we find the best...
Simulated Annealing Made Simple & How To Tutorial In Python
Introduction: The Search for the Best Solution Imagine you’re trying to find the fastest route through a city with hundreds of streets, or the optimal design for a complex circuit. The number of...
Particle Swarm Optimization (PSO) Explained With How To Python Tutorial
Introduction Optimization lies at the heart of nearly every scientific and engineering challenge — from tuning the hyperparameters of a machine learning model to designing aerodynamic vehicles or...
![Machine Learning For Documents [How It Works & 15 Popular Tools]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/10/ml-pipeline-for-documents.jpg?fit=1200%2C675&ssl=1)
Machine Learning For Documents [How It Works & 15 Popular Tools]
Introduction Every organisation today is flooded with documents — contracts, invoices, reports, customer feedback, medical records, research papers, and more. These documents hold critical...
![Low-Resource NLP Made Simple [Challenges, Strategies, Tools & Libraries]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/09/stratagies-low-resource-nlp.jpg?fit=1200%2C675&ssl=1)
Low-Resource NLP Made Simple [Challenges, Strategies, Tools & Libraries]
Introduction Natural Language Processing (NLP) powers many of the technologies we use every day—search engines, chatbots, translation tools, and voice assistants. However, behind the scenes, most of...
Top 14 Python Natural Language Processing (NLP) Libraries With How To Tutorials
Introduction Language is at the heart of human communication—and in today's digital world, making sense of language at scale is more important than ever. From powering chatbots and voice assistants...
Embedding Models Explained, How To Use Them & 10 Tools/Frameworks
What Are Embedding Models? At their core, embedding models are tools that convert complex data—such as words, sentences, images, or even audio—into numerical representations. More specifically, they...
Vector Embeddings Made Simple & How To Tutorial In Python
What Are Vector Embeddings? Imagine trying to explain to a computer that the words "cat" and "dog" are more similar to each other than to "car". Computers don't inherently understand language,...
![Monte Carlo Tree Search Explained & How To Implement [With Code]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/09/four-steps-monte-carlo-tree-search.jpg?fit=1200%2C675&ssl=1)
Monte Carlo Tree Search Explained & How To Implement [With Code]
What is Monte Carlo Tree Search? Monte Carlo Tree Search (MCTS) is a decision-making algorithm that helps an agent figure out the best action when the possible outcomes are too vast to calculate...
