Agentic Design Patterns
Frameworks for creating AI systems that can operate autonomously to achieve goals. Oftentimes using tools and with multiple AI agents working cooperatively.
Deep Learning
A subset of machine learning based on neural networks with multiple layers.
Diffusion Models
AI models that generate data by gradually denoising random patterns.
Docker
Platform for containerizing applications useful for developing, shipping, and running.
FastAI
Library that simplifies training fast and accurate neural networks.
Grokking
Phenomenon where neural networks suddenly generalize after extensive training.
Multimodal AI
AI systems that can process and generate multiple types of data (text, images, audio).
Next.js
React framework for building web applications.
Node.js
JavaScript runtime for server-side programming.
Prisma
Database toolkit and ORM for Node.js and TypeScript.
PyTorch
Open-source machine learning library developed by Facebook.
Recursive Prompting
Technique where AI output is used as input for subsequent AI calls.
Reinforcement Learning
Machine learning technique where agents learn by interacting with environments and observing outcomes.
Tailwind CSS
Utility-first CSS framework.
TensorFlow
Open-source machine learning platform developed by Google.
TypeScript
Programming language that adds static types to JavaScript.
Vector DB
Database designed to store and query vector embeddings for AI applications.
ADAS
Automated Design of Agentic Systems
AI
Artificial Intelligence
CAD
Computer-Aided Design
CNC
Computer Numerical Control
CPU
Central Processing Unit
ECLSS
Environmental Control and Life Support Systems
ECS
Elastic Container Service
FEA
Finite Element Analysis
GPU
Graphics Processing Unit
MCTS
Monte Carlo Tree Search
MCP
Model Control Protocol
ORM
Object-Relational Mapping
PCS
Pressure Control Systems
RAG
Retrieval-Augmented Generation
RDS
Relational Database Service
S3
Simple Storage Service
TEG
Thermoelectric Generator