MLOps
MLOps is the practices and tools for deploying, monitoring, and maintaining machine learning models in production.
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Computer Vision
Data
Deep Learning
Ethics
Fundamentals
Generative AI
Infrastructure
Machine Learning
NLP
Model Drift
Model Drift is the gradual decline in a model's accuracy as real-world data changes over time.
Data Pipeline
Data Pipeline is the automated flow that collects, cleans, and delivers data to models for training…
Vector Database
Vector Database is a database that stores embeddings and retrieves the most similar items quickly, often…
Benchmark
Benchmark is a standard dataset and metric used to compare the performance of different models.
Retrieval-Augmented Generation
Retrieval-Augmented Generation is a technique that lets a model pull in relevant external documents at query…
Open Source Model
Open Source Model is an AI model whose weights and code are publicly available to use,…
Fine-Tuning
Fine-Tuning is further training a pre-trained model on a specific dataset so it performs better on…
Closed Model
Closed Model is a proprietary AI model accessible only through an API, with weights kept private.
Pre-training
Pre-training is the initial, large-scale training of a model on broad data before it is adapted…
System Prompt
System Prompt is a hidden instruction that sets a model's role, tone, and rules before a…
Transfer Learning
Transfer Learning is reusing a model trained on one task as the starting point for a…
Function Calling
Function Calling is a capability that lets a language model trigger external tools or code in…
Supervised Learning
Supervised Learning is training a model on labelled examples so it learns to map inputs to…
Grounding
Grounding is connecting a model's answers to verified sources or data to reduce errors.
Unsupervised Learning
Unsupervised Learning is training a model to find structure or patterns in data that has no…
Watermarking
Watermarking is embedding a hidden signal in AI-generated content so it can later be identified as…
Reinforcement Learning
Reinforcement Learning is training an agent to make decisions by rewarding good actions and penalising bad…
RLHF
RLHF is reinforcement learning from human feedback, a method that aligns AI outputs with human preferences…