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ai and machine learning
Folder: learn/concepts/ai-and-machine-learning
37 items under this folder.
05 Apr 2026
Agent Memory
ai
memory
context
state
persistence
fundamentals
05 Apr 2026
Autonomy Spectrum
ai
autonomy
agents
design
spectrum
fundamentals
05 Apr 2026
Dynamic Load Shifting
ai
human-oversight
automation
workflow
efficiency
fundamentals
05 Apr 2026
Embeddings
ai
embeddings
vectors
semantic-search
representation
fundamentals
05 Apr 2026
Evaluator-Optimiser
ai
pipelines
evaluation
refinement
iteration
fundamentals
05 Apr 2026
Guardrails
ai
safety
guardrails
constraints
permissions
fundamentals
05 Apr 2026
Hallucination
ai
hallucination
reliability
safety
grounding
fundamentals
05 Apr 2026
Intent Classification
ai
classification
intent
routing
nlp
fundamentals
05 Apr 2026
Multi-Agent Systems
ai
multi-agent
collaboration
coordination
architecture
fundamentals
05 Apr 2026
Parallelisation
ai
pipelines
parallel
fan-out
ensemble
fundamentals
05 Apr 2026
Prompt Chaining
ai
pipelines
chaining
decomposition
fundamentals
05 Apr 2026
Structured Data vs Prose
data
structure
prose
trade-offs
formats
fundamentals
05 Apr 2026
Structured Output
ai
output
json-schema
validation
automation
fundamentals
05 Apr 2026
Tool Use
ai
tools
function-calling
agents
integration
fundamentals
05 Apr 2026
Vector Databases
ai
databases
vectors
search
similarity
fundamentals
04 Apr 2026
Agentic Systems
ai
agents
automation
llm
fundamentals
04 Apr 2026
AI and Machine Learning
domain
ai
machine-learning
fundamentals
04 Apr 2026
Claims and Propositions
epistemology
pedagogy
atomisation
claims
propositions
assertions
knowledge-atoms
04 Apr 2026
Constructivism
pedagogy
learning-theory
piaget
vygotsky
knowledge-construction
didactics
04 Apr 2026
Context Cascading
ai
context
llm
prompting
architecture
fundamentals
04 Apr 2026
DIKW Hierarchy
epistemology
knowledge-management
data
meaning
wisdom
04 Apr 2026
Human-in-the-Loop
ai
human-oversight
safety
checkpoints
approval
fundamentals
04 Apr 2026
Knowledge Engineering
ai
knowledge
structure
ontology
fundamentals
04 Apr 2026
Knowledge Granularity
chunking
granularity
decomposition
rag
semantic-chunking
meaning
retrieval
04 Apr 2026
Knowledge Graphs
knowledge
graphs
data-structures
ontology
fundamentals
04 Apr 2026
LLM Pipelines
ai
llm
pipelines
workflows
automation
fundamentals
04 Apr 2026
Machine-Readable Formats
data-formats
serialisation
machine-readable
fundamentals
04 Apr 2026
Nodes and Edges
graphs
data-structures
fundamentals
knowledge
04 Apr 2026
Ontology
ontology
knowledge-representation
semantics
formal-specification
reasoning
04 Apr 2026
Orchestration
ai
orchestration
coordination
multi-agent
workflow
fundamentals
04 Apr 2026
Playbooks as Programs
ai
playbooks
instructions
reproducibility
automation
fundamentals
04 Apr 2026
Prompt Routing
ai
routing
prompts
intent
automation
fundamentals
04 Apr 2026
RAG (Retrieval-Augmented Generation)
ai
retrieval
generation
knowledge
grounding
fundamentals
04 Apr 2026
Schema Theory
cognition
schemas
mental-models
learning
psychology
piaget
bartlett
04 Apr 2026
Semantic Triples
rdf
triples
subject-predicate-object
semantics
linked-data
knowledge-representation
04 Apr 2026
Taxonomies
classification
hierarchy
knowledge
ontology
fundamentals
04 Apr 2026
Topological Sort
algorithms
graphs
ordering
dependencies
fundamentals