Question 1Interacting with Large Language Models (LLMs) differs from traditional machine learning models. Working with LLMs involves natural language input, known as a _____, resulting in output from the Large Language Model, known as the ______ .Choose the answer that correctly fill in the blanks.1 pointtunable request, completionprompt, completion prediction request, prediction responseprompt, fine-tuned LLM2.Question 2Large Language Models (L

What is the primary function of Large Language Models (LLMs)?

What are some of the benefits of using large language models (LLMs)?LLMs have many benefits, including: 1) They can generate probabilities and human-quality text.2) They can be used for many tasks, such as text summarization and code generation.3) They can be trained on massive datasets of text and code.4) They are constantly beingimproved.

What is the primary function of Large Language Models (LLMs)?To invent new coding languagesTo understand and generate human languageTo play video gamesTo perform mathematical calculationsI don't knowSubmit

Question: Large Language Models (like GPT 3.5, Github Co-Pilot, Amazon Bedrock, etc.) are different from traditional AI/ML models (like Naïve Bayes, KNN, Logistic Regression, SVM, etc.). Large Language Models are…Instruction: Choose the option that best answers the questionTask-specific and require fine-tuning.Pre-trained and can handle various tasks without fine-tuning.Specialized for all tasks without any pre-training.

What is an advantage of a Small Language Model (SLM) over a Large Language Model (LLM)?It can generate higher quality media.It can perform a wider variety of tasks.It consumes fewer computing resources.It uses a greater number of parameters.I don't know this yet.