LLM(Large Language Model) — Learn free

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Questions 1–10 of 10

1. What does the term Large Language Model (LLM) generally refer to?
Question 1A. A relational database that stores dictionariesB. Advanced artificial intelligence models designed to understand and generate human-like languageC. A spreadsheet with many columns of textD. A standard for country codesE. A network protocol for sharing data
2. What does GPT stand for?
Question 2A. Generative Pre-trained TransformerB. General Purpose TechnologyC. Global Processing ToolkitD. Graphical Pattern TrainerE. Guided Prediction Table
3. What does an LLM learn to do during the pre-training phase?
Question 3A. Translate between exactly two languagesB. Classify images into categoriesC. Predict the next word in a sentence or fill in missing wordsD. Compute bank capital ratiosE. Register data elements in a repository
4. What is the purpose of fine-tuning an LLM after pre-training?
Question 4A. To reduce the model to a single word vocabularyB. To remove the transformer architectureC. To delete the training dataD. To enhance its performance on specific tasks or domainsE. To convert the model into a chatbot's database
5. What does the transformer architecture enable LLMs to do?
Question 5A. Store data on disk more compactlyB. Run without any training dataC. Encrypt their outputsD. Convert electricity to a different voltageE. Capture long-range dependencies and contextual information in the data efficiently
6. From which kinds of sources are LLM training datasets typically drawn?
Question 6A. Books, articles, websites and other textual content from the internetB. Only bank transaction recordsC. Only satellite imagesD. Only audio recordingsE. Only spreadsheets
7. Which of the following is NOT listed as an application of LLMs?
Question 7A. ChatbotsB. Language translationC. Content generationD. Country code assignmentE. Sentiment analysis
8. What role does an LLM play behind a chatbot?
Question 8A. It stores the user's login credentialsB. It generates responses that are contextually relevant and coherent based on the input it receivesC. It manages the network serversD. It bills the user for each messageE. It converts speech into binary code
9. What ethical considerations do LLMs raise?
Question 9A. The cost of paper for printing outputsB. The choice of database vendorC. Concerns about bias in language generation and the potential misuse of AI-generated contentD. The expiry of software licencesE. The physical location of servers
10. What does the infrastructure behind a chatbot powered by an LLM involve?
Question 10A. A single desktop computer with no networkB. Only a printed manual of responsesC. A spreadsheet of pre-written answersD. A paper filing systemE. Servers and systems capable of processing and responding to user inputs in real time, with components for handling queries, interacting with the model and integrating external systems