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Long reads that explain how the technology works.
Tokens & Embeddings: How Models Read
A model never sees your sentence. A tokenizer turns it into numbered pieces, and an embedding turns each number into a point. Here is how that cut works in tiktoken, what GPT-5 and gpt-oss charge per piece, and why the count is the bill.
17 Oct 2026 · Explainer · AI
The State of Agent Development, Honestly
Agents got good at writing code and that turned out to be the easy half. Eighteen months in, here's what actually changed — the bottleneck moving from writing to reviewing, the harness quietly becoming the product, context turning into the scarce resource, and the failure modes nobody warns you about because none of them throw an error.
13 Aug 2026 · ai agents, agentic coding
AI Ethics and Responsible AI
Exploring the ethical considerations and responsible development of artificial intelligence.
20 Mar 2025 · ai ethics, responsible ai
AI Model Evaluation And Metrics
Understanding AI Model Evaluation and Metrics
20 Mar 2025 · AI, machine learning
Bayesian Inference and Probabilistic Models
An introduction to Bayesian inference and probabilistic models.
20 Mar 2025 · bayesian inference, probabilistic models
Bias and Fairness in AI
Exploring the critical issues of bias and fairness in artificial intelligence, their causes, and potential mitigation strategies.
20 Mar 2025 · AI, bias
Big Data and AI Integration A Synergistic Revolution
Exploring the powerful synergy between big data and artificial intelligence and its impact on various industries.
20 Mar 2025 · big data, ai
Computer Vision Basics
Introduction to fundamental concepts in computer vision.
20 Mar 2025 · computer vision, image processing
Explainability and Interpretability in AI
A deep dive into explainable and interpretable AI, their differences, importance, and techniques.
20 Mar 2025 · AI, explainability
Feature Engineering and Selection
A comprehensive guide to feature engineering and selection techniques for machine learning.
20 Mar 2025 · machine learning, feature engineering
Gradient Descent and Optimization Techniques
An overview of gradient descent and related optimization techniques used in machine learning.
20 Mar 2025 · machine learning, gradient descent
Hyperparameter Tuning in Machine Learning
Understanding and implementing hyperparameter tuning techniques in machine learning.
20 Mar 2025 · machine learning, hyperparameter tuning
Natural Language Processing Explained
An overview of Natural Language Processing and its applications.
20 Mar 2025 · natural language processing, nlp
Neural Networks and Deep Learning Explained
An introduction to neural networks and deep learning concepts.
20 Mar 2025 · neural networks, deep learning
Reinforcement Learning Fundamentals Explained
Introduction to the fundamentals of reinforcement learning.
20 Mar 2025 · reinforcement learning, machine learning
Supervised vs Unsupervised Learning
A comparison of supervised and unsupervised learning techniques.
20 Mar 2025 · machine learning, supervised learning
Transfer Learning and Pretrained Models
An overview of transfer learning and the use of pretrained models.
20 Mar 2025 · transfer learning, pretrained models