Artificial Intelligence
Machine learning, neural networks, and AI systems
AI
Guilds of Knowledge
AI, Automation, Chemistry, Databases, Engineering, Mathematics
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Automation
Process automation and workflow optimization
Auto
Chemistry
Chemical reactions, compounds, and molecular science
Chem
Databases
Data storage, management, and query systems
DB
Engineering
Technical design, systems, and problem-solving
Eng
Mathematics
Numbers, equations, and mathematical concepts
Math
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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)