Glossary
LLM toxicity
LLM toxicity is a critical concern in today's technological landscape as we increasingly rely on large language models (LLMs) for...
Gaussian mixture model (GMM)
Gaussian mixture models (GMM) are powerful statistical tools that have made significant contributions to various fields, particularly in machine learning....
Chatbot hallucinations
Chatbot hallucinations present a fascinating yet concerning aspect of AI-powered chatbots. These occurrences, where chatbots produce responses that are incorrect...
Retrieval-augmented generation (RAG)
Retrieval-augmented generation (RAG) represents a cutting-edge methodology in natural language processing (NLP), combining the strengths of retrieving relevant information and...
Causal language modeling (CLM)
Causal language modeling (CLM) has emerged as a pivotal approach in natural language processing, revolutionizing how machines understand and generate...
Artificial neural networks (ANNs)
Artificial neural networks (ANNs) have revolutionized the field of machine learning by enabling computers to learn from vast amounts of...
Naive Bayes models
Naive Bayes models stand out in the field of machine learning as a simple yet highly effective family of probabilistic...
Machine learning inference
Machine Learning Inference is a critical aspect of applying trained models to real-world data. By enabling systems to generate predictions...
Predictive analytics
Predictive analytics is reshaping how organizations make decisions by leveraging data to anticipate future outcomes. In today's fast-paced environment, businesses...
Speech recognition
Speech recognition has transformed the way we interact with technology, allowing machines to understand and transcribe spoken language into text....
G-Eval framework
The G-Eval framework has emerged as a pivotal tool in the realm of artificial intelligence, specifically for evaluating the quality...
Inception score
In the realm of generative AI, understanding image quality is crucial for evaluating the performance of models, particularly those utilizing...
Categorical variables
Categorical variables are an integral part of many datasets, especially in machine learning applications. These variables help in classifying data...
Binomial distribution
The binomial distribution is a fascinating aspect of probability theory that allows us to model situations where there are two...
Prompt injection
Prompt injection is an emerging concern in the realm of cybersecurity, especially as AI systems become increasingly integrated into various...
Machine vision
Machine vision is transforming industries by providing the ability to interpret visual information automatically, increasing efficiency and precision across various...
Neural network tuning
Neural network tuning is a fascinating area within deep learning that can significantly impact model performance. By carefully adjusting various...
Classification thresholds
Classification thresholds are vital components in the world of machine learning, shaping how the outputs of predictive models—specifically their probabilities—translate...
Regularization algorithms
Regularization algorithms play a crucial role in enhancing the performance of machine learning models by addressing one of the most...
LLM Jacking
LLM jacking is a growing concern as the capabilities of large language models (LLMs) expand. As these models become increasingly...
Hyperparameter tuning
Hyperparameter tuning plays a pivotal role in the success of machine learning models, enhancing their predictive accuracy and overall performance....
Named entity recognition (NER)
Named entity recognition (NER) has emerged as a pivotal component in extracting structured information from unstructured text. As our digital...
Natural language processing (NLP)
Natural language processing (NLP) is a fascinating field at the intersection of computer science and linguistics, enabling machines to interpret...
Natural language understanding (NLU)
Natural language understanding (NLU) plays a pivotal role in bridging the gap between human communication and machine comprehension. As artificial...
AI assistants
AI assistants have rapidly transformed the way we interact with technology, offering an array of functionalities that enhance productivity and...
AI content moderation
AI content moderation is transforming the way online platforms handle user-generated content. By harnessing the power of artificial intelligence, these...
Machine learning bias
Machine learning bias is a critical concern in the development of artificial intelligence systems, where algorithms inadvertently reflect societal biases...
Pandas and NumPy
Pandas and NumPy are the powerhouses of data manipulation and numerical processing in Python. Their combined abilities enable data scientists...
Few-shot learning
Few-shot learning (FSL) represents an exciting frontier in machine learning, allowing AI models to excel even when faced with minimal...
Machine learning operations (MLOps)
Machine learning operations (MLOps) is reshaping how organizations deploy and manage machine learning models, allowing for streamlined workflows and strong...
Calibration curve
Calibration curves are essential tools in machine learning, providing a visual representation of how well a model's predicted probabilities align...
Reference distribution
Reference distribution serves as a cornerstone in statistical analysis, providing a crucial point of comparison for evaluating data against expected...
Model monitoring
Model monitoring is a critical aspect of the machine learning lifecycle, often overlooked until issues arise. As organizations increasingly rely...
Missing values in time series
Missing values in time series can significantly affect data integrity and the accuracy of analyses. With time series data often...
Embedded analytics
Embedded analytics is transforming how organizations leverage data by seamlessly integrating analytical capabilities within business applications. This integration allows users...
Dimensionality reduction
Dimensionality reduction is a fascinating field in data science that allows complex data sets to be transformed into simpler forms...
Explainable AI
Explainable AI is transforming how we view artificial intelligence systems, specifically regarding their decision-making processes. As AI continues to permeate...
Zipf’s Law
Zipf's law showcases the intriguing balance within language, highlighting an underlying order amidst apparent randomness. This statistical principle reveals that...
Feature engineering
Feature engineering is a vital aspect of machine learning that involves the creative and technical process of transforming data into...
Fréchet inception distance (FID)
Fréchet inception distance (FID) is a critical metric in the realm of image generation, particularly when evaluating the efficacy of...
Model robustness
Model robustness is a critical aspect of machine learning that ensures models perform consistently across various conditions, supporting practical applications...
Reasoning engine
Reasoning engines are at the forefront of artificial intelligence innovation, capable of mimicking human logical reasoning to solve complex problems....
Support vector machines (SVM)
Support vector machines (SVM) are at the forefront of machine learning techniques used for both classification and regression tasks. Their...
Population Stability Index (PSI)
The Population Stability Index (PSI) is an essential tool in the realm of predictive modeling, offering insights into how populations...
