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KwickClips Artificial Intelligence

Artificial Intelligence: 203 short revision clips (page 4)

One idea per clip, with the answer written out underneath. Each clip links back to the full Artificial Intelligence lesson it came from.

Table: train 98 test 97 good; train 99 test 85 overfitting.Train 99%, test 85%: what is it?40 secList of next steps: CNNs, Teachable Machine, Kaggle, LiteRT.What improves image accuracy?41 secPoints: creates new content, text images audio code, learns from huge data.Can a computer draw a picture nobody drew before?41 secSteps: training finds patterns, stored as numbers, predicts next piece.Does AI copy answers from the internet?39 secTable comparing discriminative and generative models with cat examples.Which model says cat or dog?42 secTable of generative AI types with example tools and uses.Which type makes voiceovers?44 secTable of generative AI benefits and limitations side by side.What should you use it for?41 secPoints on LLMs: huge text, tokens, next-token prediction.What does LLM stand for?41 secFour-part prompt: role, task, context, format with examples.Got a useless AI answer. What should you check?41 secSteps of an API chatbot: link, send messages, add reply, keep key secret.What is the bot's memory?37 secPoints on responsible AI use: deepfakes, trusted sources, credit, personal data.What should you do before forwarding?40 secThree signs of big data: too large, arrives every second, many forms.Is a big Excel sheet big data?36 secTable of three big data types with examples.What type is a photo?39 secTable of the Vs of big data with their questions.Which V means speed?40 secTwo-sided table of big data advantages and disadvantages.Is big data always good?40 secPoints on big data analytics: patterns, decisions, app suggestions.Why study millions of old orders?38 secFive steps: collect, store, clean, analyse, share.What comes after storing?40 secPoints on data streams: nonstop data, process on arrival, sliding window.Can banks store all UPI data first?39 secFour future trends of big data analytics.What is edge computing?39 secThree parts of data science: maths and statistics, programming, subject knowledge.Is data science only maths?40 secTen steps grouped into four lines.What mistake do beginners make?39 secTable from question to answer: question, data, model, feedback.What is the question?40 secTable matching AI Project Cycle stages to data science steps.Are the two cycles different ideas?39 secPoints on data mining: patterns, tasks, bread and butter example.What does data mining find?40 secSteps to start Orange: free, install, drag widgets, link them.Does Orange need code?40 secTable of Orange widget categories with example widgets.Where is Test and Score?42 secTable of three Orange workflows and their key widgets.Can Orange handle photos and text?40 secThree reasons stories stick: meaning, emotion, order.Why do numbers fade by evening?43 secFreytag's pyramid with five parts labelled.How many parts does the pyramid have?44 secTable matching data kinds to charts: bar, line, pie, scatter.Pie chart for rainfall?40 secFour steps of building a data story plus ethics rules.What is the last step?43 secThree rules for good training examples.How many examples per class?42 secSteps to train in Teachable Machine: classes, examples, Train Model.Do you need code?42 secLoop of testing and improving a model.What data should you test with?39 secPoints on what a model learns: pixel patterns, background, only its examples.Does a mask model know what a mask is?41 secPoints: learns rules from data, predicts, face unlock and spam filters.What does AI learn rules from?40 secSequence 3, 6, 10, 15 with differences and the answer 21.What comes after 3, 6, 10, 15?41 secPicture analogy with side counts 3, 4, 5, 6.Pentagon is to what?43 secTable comparing human and machine pattern learning.How many examples does a machine see?41 secDecision loop: sense, perceive, predict, plan, act.What are the loop steps?41 secList of who may be responsible: maker, coders, owner, government.Can you jail the AI?43 secTable of three concerns: jobs, privacy, safety.Which three worries are named?42 secFour steps of a structured debate with two rules.What is the first step?44 secThree reasons data stories win.Do tables of numbers change minds?40 secTable of three data story elements and what each answers.What does narrative add?42 secTable matching data kinds to charts including histogram.Which chart shows the spread of marks?42 secSteps and ethics rules for building a data story.What is cherry-picking?43 secTwo Orange widgets on a canvas joined by a link from the right output to the left input.Do you need to write code in Orange?40 sec

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