RAG
Retrieval-Augmented Generation (RAG) is an AI approach that combines retrieval of relevant documents with generative models to produce accurate and contextually relevant responses.
22 topics found for
“scaling techniques”
AI Pre-Training
The process of training an AI model on a large dataset before fine-tuning it for a specific task.
v12n
Numeronym for the word "Virtualization" (V + 12 letters + N), creating virtual versions of physical resources, such as servers, storage devices, or networks, to improve efficiency and scalability.
Reference Dependence
A cognitive bias where individuals evaluate outcomes relative to a reference point rather than on an absolute scale.
Market Validation
The process of determining whether there is a need or demand for a product in the target market, often through testing and feedback.
LLM
Large Language Model (LLM) is an advanced artificial intelligence system trained on vast amounts of text data to understand and generate human-like text.
Global Design Trends
Emerging patterns and movements in design that gain popularity and influence on a global scale.
FDD
Feature Driven Development (FDD) is an agile methodology focused on designing and building features based on client-valued functionality.
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.