Guilds of Knowledge
AI, Automation, Chemistry, Databases, Engineering, Mathematics
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Articles
Insights and reflections across our knowledge guilds
Artificial Intelligence
Machine learning, neural networks, and AI systems
Automation
Process automation and workflow optimization
Chemistry
Chemical reactions, compounds, and molecular science
Databases
Data storage, management, and query systems
Engineering
Technical design, systems, and problem-solving
Mathematics
Numbers, equations, and mathematical concepts
About Us
Learn more about our mission, team, and story
Articles
The Magic of Fibonacci
How a simple sequence defines beauty, nature, and algorithms.
Understanding Recursion
A deep dive into recursion with analogies, code, and interactive demos.
The Golden Ratio
Explore the golden ratio in art, nature, and design.
Computational Problems Dictionary
A categorized, searchable reference of common computational problems and their techniques.
AI & Math Concepts Dictionary
Key concepts in AI, machine learning, and mathematics.
AI Dictionary
- Algorithm: Step-by-step procedure to solve problems or make decisions.
- Neural Network: Model inspired by the human brain, used for pattern recognition.
- Transformer: Deep learning model architecture for sequence data.
- Reinforcement Learning: Training by rewards from environment interaction.
- Prompt Engineering: Crafting text to steer AI behavior.
Foundational Papers
- Attention Is All You Need (Vaswani et al., 2017)
- BERT: Pre-training of Deep Bidirectional Transformers (Devlin et al., 2018)
- Language Models are Few-Shot Learners (Brown et al., 2020)
- Bernhard Riemann – On the Hypotheses which Lie at the Bases of Geometry (1854)
- Évariste Galois – Mémoire sur les conditions de résolubilité des équations par radicaux (1832)
- Alan Turing – On Computable Numbers, with an Application to the Entscheidungsproblem (1936)
- Norbert Wiener – Cybernetics (1948)