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AI Basic Terms
Play Trivana
AI Basic Terms
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Energetic crowd-pleaser
HostJasperEnergetic crowd-pleaserSmart Host — a host that reacts to every answer.
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Your host
Energetic crowd-pleaser
HostJasperEnergetic crowd-pleaserSmart Host — a host that reacts to every answer.
AI Basic Terms is a 10-question AI-hosted trivia round about Artificial intelligence basics trivia covering machine learning, neural networks,…, voiced by Jasper and playable in about 5 minutes with no signup.
The round keeps the energy fast and upbeat and the difficulty stays balanced for mixed audiences.
Think of "AI Basic Terms" as a short, sharp dive into Artificial intelligence basics trivia covering machine learning, neural networks,…. 10 questions, one AI host, roughly 5 minutes of your time.
Question coverage spans Machine learning fundamentals, Neural network structures, Natural language processing, AI model training, Computer vision applications, and Everyday AI tools. We don't publish the exact question list on this page — the first playthrough should land cold — but the themes give you a sense of the territory before you start.
Jasper plays the room like a late-night host — fast, playful, sharp on reactions. Jasper narrates every question and reacts to each answer in real time, not with canned "correct / incorrect" beeps.
The post-game screen makes it easy to challenge someone else. Share the link, let them try, see whose score holds up. All in English, no download required.
"AI Basic Terms" is built to fit a single sitting — around 5 minutes for 10 questions, including the host's reactions and answer reveals.
No. Anyone with the link can play "AI Basic Terms" instantly on any device — desktop, phone, or tablet. There's no signup wall, no app download, and no email required. Just tap the link and play.
This pack is voiced by Jasper — a fully AI-generated host with a distinct personality and accent. Every question in "AI Basic Terms" runs through Jasper's voice, and answer reveals come with in-character commentary. Learn more about Jasper at /hosts/jasper.
Difficulty on "AI Basic Terms" is medium — a mid-level challenge — expect questions that reward genuine familiarity with the topic but don't require deep expertise. The fun tone shapes how the host reacts, but the question difficulty itself is independent of tone.
"AI Basic Terms" focuses on Artificial intelligence basics trivia covering machine learning, neural networks,…. You'll see questions across Machine learning fundamentals, Neural network structures, Natural language processing, AI model training, Computer vision applications, and Everyday AI tools. We intentionally don't publish the question list — half the fun is not knowing what's next.
"AI Basic Terms" is published in English. Trivana itself runs in ten languages — English, Spanish, Hindi, French, German, Portuguese, Japanese, Arabic, Korean, and Chinese — and a Creator Pro subscription lets you translate the pack on the fly, with the host voicing the new language natively.
Heads up: opening this section reveals every question, every option, and the correct answer for this round. If you came here to play, scroll up and hit Play first.
Answer: D. Prompt
Explanation: A prompt is the specific instruction or text provided to an AI model to elicit a desired response, acting as the starting point for the generation process.
Answer: D. Machine learning
Explanation: Machine learning is a subset of AI that enables systems to learn and improve from experience by identifying patterns in data rather than following static rules.
Answer: A. Inference
Explanation: Inference is the stage where a trained AI model makes predictions or generates outputs based on new input data it has not encountered during its training phase.
Answer: B. Computer vision
Explanation: Computer vision is the field of AI that trains computers to interpret and understand the visual world, allowing them to identify objects, faces, or scenes in images.
Answer: D. Neural networks
Explanation: Neural networks are computational models inspired by the structure of biological brains, consisting of layers of nodes that process information to recognize complex patterns.
Answer: D. To teach the model patterns
Explanation: Training data is the large dataset used to teach an AI model how to recognize patterns, make decisions, or generate content during its initial learning phase.
Answer: D. Chatbot
Explanation: A chatbot is a software application designed to mimic human conversation, often using natural language processing to understand and respond to user inputs.
Answer: C. Foundation model
Explanation: A foundation model is a large-scale AI model trained on massive datasets, serving as a base that can be adapted for a wide variety of downstream tasks.
Answer: A. Natural language processing
Explanation: Natural language processing (NLP) is the branch of AI that helps computers understand, interpret, and manipulate human language in both text and speech formats.
Answer: D. Recommendation systems
Explanation: Recommendation systems, like those used by streaming services or online stores, use AI to analyze user behavior and suggest content they are likely to enjoy.
These 5 games share canonical tags with this one — same fanbase, adjacent angle. Each is a complete playable round with the same AI voice host format.
