Transformer
A type of model architecture primarily used in natural language processing tasks, known for its efficiency and scalability. Essential for state-of-the-art NLP applications.
351 topics found for:
“continuous learning”
Prompt Defense
A method used in AI and machine learning to ensure prompts and inputs are designed to produce the desired outcomes. Essential for improving the accuracy and relevance of AI responses.
Machine Learning
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed. Crucial for developing intelligent systems that can make data-driven decisions.
Machine Learning Bias
Systematic errors in AI models that arise from the data or algorithms used, leading to poor outcomes. Important for ensuring fairness and accuracy in AI systems.
Continued Influence Effect
The persistence of misinformation in memory and influence on reasoning, even after it has been corrected. Crucial for understanding and mitigating the impact of misinformation in design and communication.
Modality Effect
The phenomenon where people remember information better when it is presented through multiple sensory modalities rather than a single modality. Crucial for enhancing memory retention and understanding through multimodal presentations.
Behavioral Theory
The study of the principles that govern human behavior, including how people respond to stimuli and learn from their environment. Crucial for designing user experiences that anticipate and influence user behavior.
Dunning-Kruger Effect
A cognitive bias where individuals with low ability at a task overestimate their ability, while experts underestimate their competence. Crucial for designers to create educational content and user interfaces that accommodate varying levels of user expertise.
ALM
Application Lifecycle Management (ALM) is the process of managing an application's development, maintenance, and eventual retirement throughout its lifecycle. Important for ensuring the sustainability and effectiveness of digital products over time.
Rapid Experimentation
The practice of quickly testing and iterating on ideas to validate assumptions and learn from user feedback in a short time frame. Essential for agile development and making data-driven decisions efficiently.
NLP
Natural Language Processing (NLP) is a field of AI focused on the interaction between computers and humans using natural language. Essential for developing applications like chatbots, language translation, and sentiment analysis.
Chunking
A cognitive process that groups information into manageable units, making it easier to remember and process. Important for designing user interfaces that enhance usability and information retention.
Lean UX
A user experience design methodology focused on rapid iteration, collaboration, and learning through experimentation. Essential for creating user-centered designs efficiently and effectively.
Cross Validation
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation. Essential for evaluating model performance and preventing overfitting in digital product analytics.
Multimodal Theory
A theory that explains how information is processed through different sensory modalities, such as visual, auditory, and tactile. Important for designing user experiences that engage multiple senses for better interaction and understanding.
POLA
Principle of Least Astonishment (POLA) is a design guideline stating that interfaces should behave in a way that users expect to avoid confusion. Crucial for enhancing user experience and reducing the learning curve in digital products.
Indexing
The process by which search engines organize and store web content to facilitate fast and accurate information retrieval. Crucial for understanding how search engines work and ensuring that web content is accessible and searchable.
Minimize Waste
A principle in lean management aimed at reducing non-value-added activities to improve efficiency. Important for optimizing processes and resource use.
AIoT
Artificial Intelligence of Things (AIoT) is the integration of AI with the Internet of Things (IoT) to create smart systems that can learn and adapt. Crucial for developing advanced, intelligent products that offer enhanced user experiences and operational efficiencies.
Recommendation Engine
A system that suggests products, services, or content to users based on their preferences and behavior. Essential for personalizing user experiences and increasing engagement and conversion rates.
Serial Position Effect
A cognitive bias where people tend to remember the first and last items in a series better than those in the middle, impacting recall and memory. Crucial for designing information presentation to optimize user memory and recall.
Escalation of Commitment
A cognitive bias where individuals or organizations continue to invest in a failing project or decision due to the amount of resources already committed. Important for designers to recognize and mitigate their own risks of continuing unsuccessful initiatives.
Behaviorism
A theoretical approach that focuses on observable behaviors and dismisses internal processes, emphasizing the role of environmental factors in shaping behavior. Foundational for understanding how external factors influence user behavior and for designing behavior-based interventions.
CSM
CSM (Customer Success Management) is a business methodology focused on ensuring customers achieve their desired outcomes while using a product or service. Crucial for driving customer retention and satisfaction.
Semantic Encoding
The process of encoding sensory input that has particular meaning or can be applied to a context, enabling deeper processing and memory retention. Important for understanding how information is processed and stored, enhancing design of educational content.
Lean Software Development
An agile methodology focused on delivering value to the customer through principles such as eliminating waste, amplifying learning, and delivering as fast as possible. Crucial for improving efficiency and effectiveness in software development processes.
CEM
Customer Experience Management (CEM) is the process of managing and improving the interactions and experiences customers have with a brand across all touchpoints. This process is essential for building strong customer relationships and enhancing brand loyalty.
Crit
Crit (Design Critique) is a structured feedback session where designers present their work and receive constructive feedback from peers. Essential for refining design quality through collaborative input.
DSDM
Dynamic Systems Development Method (DSDM) is an agile project delivery framework focused on delivering business value early and continuously. Essential for ensuring that projects align with business goals and user needs through iterative processes.
MVP
Minimum Viable Product (MVP) is a version of a product with just enough features to be usable by early customers who can then provide feedback for future product development. Essential for validating product ideas quickly and cost-effectively, allowing teams to learn about customer needs without fully developing the product.
SRE
Site Reliability Engineering (SRE) is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems to create scalable and highly reliable software systems. Crucial for maintaining the reliability and efficiency of complex software systems.
BSC
Balanced Scorecard (BSC) is a strategic planning and management system used to align business activities to the vision and strategy of the organization. Essential for aligning business activities with organizational strategy and improving performance.
Interaction Elasticity
The concept of providing flexible and adaptive user interactions based on user input and behavior. Crucial for creating responsive and personalized user experiences.
PoC
Proof of Concept (PoC) is a demonstration, usually in the form of a prototype or pilot project, to verify that a concept or theory has practical potential. Crucial for validating ideas, demonstrating feasibility, and securing support for further development in product design and innovation processes.
Analytics
The systematic computational analysis of data or statistics to understand and improve business performance. Essential for data-driven decision making in design, product management, and marketing.
Frontstage
The parts of a service or product that are visible to and interact with the user, as opposed to the backstage operations. Important for designing user experiences that are engaging and effective.
Personalization
The process of tailoring a product or experience to meet the individual needs and preferences of users. Essential for enhancing user engagement and satisfaction by delivering relevant experiences.
Computational Thinking
A problem-solving process that includes logical reasoning, pattern recognition, abstraction, and algorithmic thinking. Important for developing efficient and effective solutions in digital product design and development.
Illusory Superiority
A cognitive bias where individuals overestimate their own abilities, qualities, or performance relative to others. Important for understanding user self-perception and designing systems that account for inflated self-assessments.
Regressive Bias
A cognitive bias where individuals overestimate the likelihood of extreme events regressing to the mean. Crucial for understanding decision-making and judgment under uncertainty.
Metadata
Data that provides information about other data, such as its content, format, and structure. Essential for organizing, managing, and retrieving digital assets and information efficiently in product design and development.
Illusion of Completeness
A cognitive bias where users believe they have explored all available content, even when more is present. Important for designing interfaces that clearly indicate the presence of additional content.
Bizarreness Effect
A cognitive bias where bizarre or unusual information is better remembered than common information. Useful for designers to create memorable and engaging user experiences by incorporating unique elements.
Onboarding
The process of guiding new users through the initial stages of using a product or service, helping them become familiar with its features and benefits. Essential for enhancing user retention and satisfaction by ensuring a smooth introduction to the product.
Recognition Over Recall
A design principle that suggests interfaces should minimize the need for users to recall information from memory, instead providing cues to aid recognition. Essential for creating user-friendly interfaces that reduce cognitive load and improve usability.
OKR
Objectives and Key Results (OKR) is a goal-setting framework for defining and tracking objectives and their outcomes. Essential for aligning organizational goals, improving focus and engagement, and driving measurable results across teams and individuals.
Cognitive Theory
The study of mental processes such as perception, memory, reasoning, and problem-solving. Important for designing interfaces that align with how users process information and make decisions.
Linguistic Theory
The study of the nature, structure, and variation of language, including phonetics, phonology, syntax, semantics, and pragmatics. Essential for understanding how language influences communication and user interactions in digital products.
CMM
Capability Maturity Model (CMM) is a framework for improving and optimizing processes within an organization. Essential for assessing and enhancing the maturity and efficiency of processes in product design and development.
Semmelweis Reflex
A cognitive bias where new evidence or knowledge is automatically rejected because it contradicts established norms or beliefs. Important for recognizing resistance to change and designing strategies to encourage openness to new ideas among designers.
Haptics
The technology of transmitting and understanding information through touch. Crucial for enhancing user interactions with devices and systems through tactile feedback.
Engagement Score
A metric used to rank leads based on their engagement with a brand, indicating their readiness to purchase. Crucial for prioritizing leads and improving sales efficiency.
TDD
Test-Driven Development (TDD) is a software development methodology where tests are written before the code that needs to pass them. Essential for ensuring high code quality and reducing bugs.
Chapter
A group of individuals with similar skills or expertise, spread across different squads, who come together to share knowledge and best practices. Crucial for maintaining technical excellence and fostering professional development within specific disciplines.
AWS
Amazon Web Services (AWS) is a comprehensive cloud computing platform provided by Amazon that offers a wide range of services including computing power, storage, and databases. Crucial for enabling scalable, cost-effective, and flexible IT infrastructure solutions for businesses of all sizes.
CRO
Conversion Rate Optimization (CRO) is the systematic process of increasing the percentage of website visitors who take a desired action, such as making a purchase or filling out a form. Crucial for improving user engagement and achieving business goals.
Sunk Cost Fallacy
The tendency for individuals to continue a behavior or endeavor as a result of previously invested resources (time, money, or effort) rather than future potential benefits. Important for understanding decision-making biases and designing systems that help users avoid irrational persistence.
Greenfield
A project or venture that starts from scratch, with no constraints imposed by prior work, enabling innovation and flexibility in development. Essential for recognizing opportunities for innovation and fresh development in business initiatives.
Self Reference Effect
Also known as Self Relevance Effect, the tendency for individuals to better remember information that is personally relevant or related to themselves. Important for designing personalized user experiences and enhancing memory retention.
KOS
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains. Essential for improving information findability, enhancing semantic interoperability, and supporting effective knowledge management in digital environments.