1. What does AI stand for?
Explanation: AI stands for Artificial Intelligence, which refers to the simulation of human intelligence in machines.
Report for correction2. What does ML stand for?
Explanation: ML refers to Machine Learning, a branch of AI that allows systems to learn from data without being explicitly programmed.
Report for correction3. What does NLP stand for?
Explanation: NLP refers to Natural Language Processing, a field of AI focused on the interaction between computers and human language.
Report for correction4. What does CNN stand for in AI?
Explanation: CNN stands for Convolutional Neural Network, a deep learning algorithm primarily used for processing visual data.
Report for correction5. What does RNN stand for?
Explanation: RNN stands for Recurrent Neural Network, a class of neural networks that is used for processing sequences of data.
Report for correction6. What does GAN stand for?
Explanation: GAN refers to Generative Adversarial Network, a model where two neural networks compete to generate new, synthetic data that is similar to real data.
Report for correction7. What does SVM stand for?
Explanation: SVM is a supervised machine learning model used for classification and regression analysis.
Report for correction8. What does RL stand for?
Explanation: RL stands for Reinforcement Learning, a type of machine learning where an agent learns to make decisions by interacting with its environment.
Report for correction9. What does LSTM stand for?
Explanation: LSTM is a type of RNN designed to learn long-term dependencies in sequence data.
Report for correction10. What does GPU stand for?
Explanation: GPU refers to a specialized processor designed to accelerate graphics rendering and computational tasks, widely used in training AI models.
Report for correction11. What does API stand for?
Explanation: API allows different software applications to communicate with each other.
Report for correction12. What does IoT stand for?
Explanation: IoT refers to the network of physical devices that are connected and able to exchange data.
Report for correction13. What does DNN stand for?
Explanation: DNN refers to a neural network with multiple hidden layers between the input and output layers.
Report for correction14. What does KNN stand for?
Explanation: KNN is a simple, instance-based learning algorithm used for classification and regression.
Report for correction15. What does PCA stand for?
Explanation: PCA is a dimensionality-reduction technique used to reduce the complexity of large datasets while retaining most of the variance.
Report for correction16. What does FNN stand for?
Explanation: FNN refers to a type of neural network where connections between nodes do not form a cycle.
Report for correction17. What does DBN stand for?
Explanation: DBN is a generative graphical model consisting of multiple layers of hidden units, used for unsupervised learning.
Report for correction18. What does MLP stand for?
Explanation: MLP refers to a class of feedforward artificial neural networks with multiple layers of nodes.
Report for correction19. What does RPA stand for?
Explanation: RPA refers to the technology used for automating routine tasks using software robots or bots.
Report for correction20. What does ANN stand for?
Explanation: ANN refers to a computational model inspired by the way biological neural networks work.
Report for correction21. What does SGD stand for?
Explanation: SGD is an optimization algorithm used to minimize the error in machine learning models.
Report for correction22. What does AUC stand for?
Explanation: AUC measures the performance of a classification model, represented by the area under the ROC curve.
Report for correction23. What does ROC stand for?
Explanation: ROC is a graphical plot used to assess the diagnostic ability of binary classifiers.
Report for correction24. What does CRF stand for?
Explanation: CRF is a framework for building probabilistic models to segment and label sequence data.
Report for correction25. What does RLHF stand for?
Explanation: RLHF is a method in which a human provides feedback on an agent's behavior to improve its learning process.
Report for correction26. What does TPU stand for?
Explanation: TPU is a custom-developed application-specific integrated circuit (ASI , used to accelerate machine learning workloads, specifically designed by Google for TensorFlow.
Report for correction27. What does MLOps stand for?
Explanation: MLOps is a practice that combines machine learning and DevOps to streamline the process of building, deploying, and maintaining machine learning models.
Report for correction28. What does XGBoost stand for?
Explanation: XGBoost is an optimized distributed gradient boosting library designed to be highly efficient and flexible for supervised learning tasks.
Report for correction29. What does LLM stand for in the context of AI and ML?
Explanation: A Large Language Model (LLM) is an AI model trained on vast amounts of text data to understand and generate human-like language.
Report for correction30. What does RAG stand for in AI development?
Explanation: RAG is stands for Retrieval-Augmented Generation. It helps AI look up real info before answering, so the reply is more accurate.
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