title='AI Models';
questions=new Array();
questions[1]='What is an AI model~A system trained to perform tasks using learned patterns~A type of computer monitor~A database of images~A programming language~A~1';
questions[2]='What does LLM stand for~Large Language Model~Logical Learning Machine~Language Logic Module~Large Learning Memory~A~1';
questions[3]='What is the main purpose of training an AI model~To learn patterns from data~To increase the size of a computer screen~To replace all computer hardware~To create an internet connection~A~1';
questions[4]='Which AI model is designed primarily to generate text~Language model~Graphics processor~Spreadsheet model~Database engine~A~1';
questions[5]='What is a neural network inspired by~The structure of biological brains~The design of computer keyboards~The structure of hard drives~The operation of web browsers~A~1';
questions[6]='What is a parameter in an AI model~A learned numerical value that influences the models output~A users password~A computer file name~A type of internet connection~A~1';
questions[7]='What is machine learning~A method where computers learn patterns from data~A method for repairing computer screens~A system for storing electricity~A type of computer cable~A~1';
questions[8]='What is deep learning~Machine learning using multiple layers of neural networks~Learning to use a computer deeply~A method of compressing files~A system for cooling processors~A~1';
questions[9]='What is supervised learning~Learning from data that includes known answers or labels~Learning without using any data~Learning only from computer hardware~Learning by changing the operating system~A~1';
questions[10]='What is unsupervised learning~Learning from data without predefined answer labels~Learning only from labelled exam papers~Learning with no computer involved~Learning from a fixed set of rules only~A~1';
questions[11]='What is reinforcement learning~Learning through rewards and penalties from interactions~Learning by reading printed books only~Learning by increasing screen brightness~Learning by copying computer files~A~1';
questions[12]='What is an AI training dataset~Data used to teach an AI model patterns or relationships~A device used to cool a computer~A password used to access an AI system~A type of computer processor~A~1';
questions[13]='What is an inference in AI~Using a trained model to produce an output~Training a processor to manufacture chips~Deleting a training dataset~Installing a new keyboard~A~1';
questions[14]='What is a transformer model~A neural network architecture that uses attention mechanisms~A machine that converts electrical voltage~A database used only for images~A programming language for websites~A~1';
questions[15]='What is attention in a transformer model~A mechanism that helps the model weigh the importance of different tokens~A method for increasing monitor volume~A way to connect two computers physically~A method for deleting model parameters~A~1';
questions[16]='What is a token in a language model~A unit of text processed by the model~A physical security key~A computer graphics card~A type of network cable~A~1';
questions[17]='What is tokenization~The process of converting text into tokens~The process of installing an operating system~The process of cooling a processor~The process of encrypting a hard drive~A~1';
questions[18]='What is a context window~The amount of input information a model can consider within one interaction~The physical size of an AI computer~The number of users connected to a server~The speed of an internet browser~A~1';
questions[19]='What is fine tuning an AI model~Further training a pretrained model for a specific task or domain~Increasing the brightness of a monitor~Replacing the models computer case~Deleting the original training data~A~1';
questions[20]='What is pretraining~Initial large scale training of a model on broad data~Testing a model after it has been deleted~Installing software on a new computer~Manually writing every model response~A~1';
questions[21]='What is transfer learning~Using knowledge learned from one task to help with another task~Moving a model from one monitor to another~Transferring files between hard drives~Changing an AI models name~A~1';
questions[22]='What is multimodal AI~AI that can work with multiple types of information such as text and images~AI that uses multiple keyboards~AI that operates only on multiple computers~AI that can produce only numbers~A~1';
questions[23]='What is a vision model primarily designed to process~Images or visual information~Only sound recordings~Only financial transactions~Only keyboard input~A~1';
questions[24]='What is a speech recognition model designed to do~Convert spoken language into text or other representations~Convert images into electricity~Create computer processors~Store files on a hard drive~A~1';
questions[25]='What is a generative AI model~A model capable of creating new content based on learned patterns~A model that only sorts files alphabetically~A model used only for computer networking~A model that cannot produce new outputs~A~1';
questions[26]='What is a discriminative AI model generally designed to do~Distinguish between categories or predict labels~Generate unlimited electricity~Create physical computer components~Translate computer hardware into software~A~1';
questions[27]='What is model hallucination~An AI generated output that contains inaccurate or unsupported information~A hardware failure caused by overheating~A visual effect on a computer monitor~A method for training image processors~A~1';
questions[28]='What is model evaluation~Measuring how well an AI model performs on defined tasks or data~Increasing the number of model parameters automatically~Changing the models name~Removing all training examples~A~1';
questions[29]='What is overfitting~When a model learns training data too closely and performs poorly on new data~When a model has too few computer processors~When an AI model cannot access electricity~When a model generates only images~A~1';
questions[30]='What is underfitting~When a model is too simple to capture important patterns in the data~When a model has too many parameters~When a model is trained for too long~When a model generates excessive text~A~1';
questions[31]='What is a benchmark in AI~A standardized test used to compare model performance~A physical platform for computers~A type of AI processor~A method for storing passwords~A~1';
questions[32]='What is model latency~The time required for a model to produce a response or result~The number of parameters in a model~The amount of training data used~The accuracy of a models vocabulary~A~1';
questions[33]='What is model quantization~Reducing numerical precision to make a model smaller or faster~Increasing the number of training examples~Adding more layers to a model~Converting text into speech~A~1';
questions[34]='What is model distillation~Training a smaller model to reproduce useful behavior from a larger model~Turning an image into a database~Increasing the size of a language model~Removing all model outputs~A~1';
questions[35]='What is an embedding~A numerical representation of information such as text or images~A physical component inside a computer monitor~A password stored in a browser~A type of programming keyboard~A~1';
questions[36]='What is a vector database commonly used for in AI applications~Storing and searching numerical vector representations~Running the operating system~Generating electricity for servers~Replacing a graphics card~A~1';
questions[37]='What is retrieval augmented generation~A technique that retrieves relevant information before generating an answer~A method for physically retrieving a computer from storage~A way to increase monitor resolution~A technique for deleting model weights~A~1';
questions[38]='What is an AI agent~A system that can use models and tools to pursue a task through multiple steps~A physical robot arm only~A database containing passwords~A type of computer screen~A~1';
questions[39]='What is a foundation model~A broadly trained model that can be adapted to many tasks~A physical foundation beneath a server building~A model trained on only one example~A database containing only computer parts~A~1';
questions[40]='What is an open source AI model~A model whose source or model components are made available under specified terms~A model that can only run without electricity~A model available only on one computer~A model that cannot be modified by anyone~A~1';
questions[41]='What is model alignment~The process of making model behavior better match intended goals or values~Connecting a monitor to a computer~Increasing network bandwidth~Converting images into audio~A~1';
questions[42]='What is RLHF~Reinforcement Learning from Human Feedback~Rapid Language Hardware Framework~Recursive Learning Hardware Function~Reinforced Logic for Human Files~A~1';
questions[43]='Why are validation datasets used during AI development~To help tune and assess a model during development~To replace the computers operating system~To generate electricity for training~To permanently store user passwords~A~1';
questions[44]='Why are test datasets kept separate from training data~To measure performance on previously unseen examples~To make the model physically smaller~To increase the number of keyboards connected~To prevent the model from using any parameters~A~1';
questions[45]='What does model accuracy measure in a classification task~The proportion of predictions that are correct~The number of parameters in the model~The speed of the computers processor~The size of the training dataset only~A~1';
questions[46]='What is a language model probability estimating~The likelihood of possible tokens or sequences given context~The physical temperature of a server~The price of computer hardware~The number of users on a website~A~1';
questions[47]='What does temperature typically control in generative AI sampling~The degree of randomness in generated outputs~The physical temperature of the computer~The size of the context window~The number of training datasets~A~1';
questions[48]='What is a model checkpoint~A saved version of model parameters from a particular stage of training~A physical checkpoint at a building entrance~A password for an AI application~A type of computer monitor~A~1';
questions[49]='What is parameter efficient fine tuning~A method for adapting a model while updating only a relatively small number of parameters~A method for increasing every model parameter equally~A technique for replacing the models hardware~A process for deleting pretrained knowledge~A~1';
questions[50]='What is the main advantage of using a pretrained AI model~It can provide useful learned capabilities without training entirely from scratch~It requires no computing resources at all~It always produces perfectly accurate answers~It can only perform the task it was originally trained for~A~1';
questions[51]='Which company develops the GPT family of commercial AI models~OpenAI~Anthropic~Google~Mistral AI~A~1';
questions[52]='Which current OpenAI model family includes Sol Terra and Luna~GPT-5.6~GPT-4.5~Claude 5~Gemini 3.8~A~1';
questions[53]='Which GPT-5.6 model is described by OpenAI as its flagship model~GPT-5.6 Sol~GPT-5.6 Luna~GPT-5.6 Terra~GPT-5.5 Mini~A~1';
questions[54]='Which GPT-5.6 model is designed as the fastest and most cost efficient option~GPT-5.6 Luna~GPT-5.6 Sol~GPT-5.6 Terra~GPT-4o~A~1';
questions[55]='Which GPT-5.6 model is positioned as a balanced option for everyday work~GPT-5.6 Terra~GPT-5.6 Sol~GPT-5.6 Luna~GPT-4.1~A~1';
questions[56]='Which company develops the Claude family of AI models~Anthropic~OpenAI~Google~Cohere~A~1';
questions[57]='Which current Claude model is described by Anthropic as its most agentic Sonnet model~Claude Sonnet 5~Claude Sonnet 4.6~Claude Opus 4.8~Claude Haiku 4.5~A~1';
questions[58]='Which Claude model family is positioned by Anthropic for its highest capability class~Claude Opus~Claude Haiku~Claude Sonnet~Claude Instant~A~1';
questions[59]='Which current Claude model was introduced as an upgrade to Opus 4.7~Claude Opus 4.8~Claude Opus 5~Claude Sonnet 5~Claude Haiku 4.5~A~1';
questions[60]='Which Claude model is designed for fast capable intelligence and high volume work~Claude Sonnet 4.6~Claude Opus 4.8~Claude Haiku 3~Claude Opus 4.1~A~1';
questions[61]='Which company develops the Gemini family of AI models~Google~OpenAI~Anthropic~xAI~A~1';
questions[62]='Which current Gemini model is described as an intelligent Flash model for long horizon software engineering~Gemini 3.8 Flash~Gemini 2.5 Pro~Gemini 3.1 Pro~Gemini 3.5 Flash Lite~A~1';
questions[63]='Which current Gemini model is designed for advanced intelligence and complex problem solving~Gemini 3.1 Pro~Gemini 3.8 Flash~Gemini 3.5 Flash Lite~Gemini 2.0 Flash~A~1';
questions[64]='Which Gemini model is intended for high throughput cost sensitive tasks~Gemini 3.5 Flash Lite~Gemini 3.1 Pro~Gemini 3.8 Flash~Gemini 2.5 Pro~A~1';
questions[65]='Which Google model is designed for image generation and editing under the Nano Banana name~Nano Banana 2~Gemini 3.8 Flash~Gemini 3.1 Pro~Veo 3.1~A~1';
questions[66]='Which Google model is designed for cinematic video generation with synchronized audio~Veo 3.1~Nano Banana 2~Gemini 3.8 Flash~Lyria 3.5~A~1';
questions[67]='Which Google model is designed for full length music generation~Lyria 3.5~Veo 3.1~Nano Banana Pro~Gemini 3.5 Transcribe~A~1';
questions[68]='Which company develops the Grok family of AI models~xAI~OpenAI~Meta~Cohere~A~1';
questions[69]='Which current Grok model was released in August 2026~Grok 4.6~Grok 4.1~Grok 3~Grok 2~A~1';
questions[70]='Which Grok model is focused on long running agents and interactive visual work~Grok 4.6~Grok 4.1~Grok 3~Grok 2 Mini~A~1';
questions[71]='Which company develops the Llama family of AI models~Meta~Google~Anthropic~Mistral AI~A~1';
questions[72]='Which Llama 4 model is described as natively multimodal and able to use a single H100 efficiently~Llama 4 Scout~Llama 4 Maverick~Llama 3.3~Llama 2~A~1';
questions[73]='Which Llama 4 model is designed for fast responses and image and text understanding~Llama 4 Maverick~Llama 4 Scout~Llama 3.1~Llama 2 70B~A~1';
questions[74]='Which Llama 4 model is noted by Meta as having a 10M context window~Llama 4 Scout~Llama 4 Maverick~Llama 3.3~Llama 3.1 8B~A~1';
questions[75]='Which company develops the Mistral family of commercial AI models~Mistral AI~Meta~Cohere~Anthropic~A~1';
questions[76]='Which Mistral model is described as the most capable model in the Mistral 3 release~Mistral Large 3~Mistral Medium 3~Ministral 3 8B~Mistral Small 3~A~1';
questions[77]='What type of architecture does Mistral Large 3 use~Sparse mixture of experts~Dense convolutional network~Recurrent neural network~Decision tree ensemble~A~1';
questions[78]='Under which license was Mistral Large 3 released~Apache 2.0~MIT~GPL 3.0~BSD 3 Clause~A~1';
questions[79]='Which company develops the Command family of commercial AI models~Cohere~Mistral AI~Google~xAI~A~1';
questions[80]='Which Cohere model is described as its first mixture of experts Command model~Command A+~Command A~Command R+~Command R7B~A~1';
questions[81]='Which Cohere model supports vision inputs as well as agentic and reasoning capabilities~Command A+~Command R~Command Light~Command Text~A~1';
questions[82]='Which Cohere model is specifically designed for tool use agents retrieval augmented generation and multilingual use cases~Command A~Command Light~Command R7B~Command Text~A~1';
questions[83]='Which company develops the DeepSeek family of AI models~DeepSeek~Cohere~Mistral AI~xAI~A~1';
questions[84]='Which AI model family is commonly associated with the DeepSeek company~DeepSeek models~Claude models~Gemini models~Llama models~A~1';
questions[85]='Which company develops the Command models for enterprise AI applications~Cohere~OpenAI~Meta~Google~A~1';
questions[86]='Which commercial AI model family is particularly associated with ChatGPT~GPT~Claude~Gemini~Grok~A~1';
questions[87]='Which commercial AI model family is associated with the Claude AI assistant~Claude~GPT~Llama~Gemini~A~1';
questions[88]='Which commercial AI model family is associated with Google AI applications~Gemini~Claude~Grok~Command~A~1';
questions[89]='Which commercial AI model family is associated with the xAI AI assistant~Grok~Claude~Gemini~Llama~A~1';
questions[90]='Which commercial AI model family is associated with Meta AI and open weight releases~Llama~Claude~GPT~Grok~A~1';
questions[91]='Which Google model is designed for low latency real time voice agent experiences~Gemini 3.8 Live~Gemini 3.1 Pro~Gemini 3.8 Flash~Gemini 2.5 Pro~A~1';
questions[92]='Which Google model is designed for low latency speech to text transcription~Gemini 3.5 Transcribe~Gemini 3.8 Live~Veo 3.1~Lyria 3.5~A~1';
questions[93]='Which Google model is designed for advanced reasoning in robotics tasks~Gemini Robotics ER 2~Gemini 3.8 Flash~Veo 3.1~Nano Banana 2~A~1';
questions[94]='Which Google model provides multimodal embedding capabilities for text images video audio and PDFs~Gemini Embedding 2~Gemini 3.8 Flash~Gemini 3.1 Pro~Gemini 3.5 Transcribe~A~1';
questions[95]='Which Anthropic model is available as a current Sonnet model with a 1M token context window~Claude Sonnet 4.6~Claude Opus 4.1~Claude Haiku 3~Claude Sonnet 3.7~A~1';
questions[96]='Which older Claude model was retired in August 2026 according to Anthropic documentation~Claude Opus 4.1~Claude Opus 4.8~Claude Sonnet 4.6~Claude Sonnet 5~A~1';
questions[97]='Which xAI model replaced several retired Grok API models through automatic redirects in May 2026~Grok 4.3~Grok 4.6~Grok 3~Grok 2~A~1';
questions[98]='Which current Cohere model combines vision agentic reasoning and translation capabilities~Command A+~Command A~Command R~Command R7B~A~1';
questions[99]='Which commercial AI model is an example of a sparse mixture of experts model from Mistral AI~Mistral Large 3~Mistral Medium 3~Ministral 3 8B~Mistral Small 3~A~1';
questions[100]='Which current commercial AI model family includes models named Sol Terra and Luna~GPT-5.6~Claude~Gemini~Grok~A~1';