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Analyzing Car Reviews with LLMs

AdvancedSkill Level
4.8+
303 reviews
Updated 03/2025
Use LLMs to solve diverse language tasks for a car dealership company.
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PythonArtificial Intelligence1 hr1 Task1,500 XP4,389

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Project Description

Analyzing Car Reviews with LLMs

Prepare to leverage your practical skills by using pre-trained LLMs! In this project, you are an AI developer hired by an auto dealership company.Your task is to implement pre-trained large language model (LLM) use cases for tasks such as analyzing and classifying customer reviews on cars, responding to inquiries about available car models, and translating the company's English text data into other languages.

Analyzing Car Reviews with LLMs

Use LLMs to solve diverse language tasks for a car dealership company.
Start Project
  • 1

    LLMs for Auto Dealership

Don’t just take our word for it

*4.8
from 303 reviews
82%
17%
1%
0%
0%
  • Tigist Ayele
    about 5 hours

  • Muhammad Ayyan
    about 10 hours

  • Cesar Gustavo
    1 day

    It was good, but It seems that to pass the formating assesment is neccesary to add more specific rules, I felt a bit loss after completing all the task about formating.

  • Oleg
    1 day

  • Elizaveta
    1 day

    The exercise is very good to summarize completed courses within the track. The links to guides lead to pages that do not exist anymore (404, all 4 of them). It is not always clear from the instructions what needs to be saved to the variables. E.g. for predicted_labels in instruction 1, I extracted 'POSITIVE' and 'NEGATIVE' from model's output to a list of strings, it turned out I should have left it as is (list of dicts with keys "label" and "score"). For the "answer" variable in instruction 3 - vice versa, it should have been extracted from the model output "answer" key. Despite a bit of confusion, I did enjoy this project and find it very useful at this stage.

  • OMNIA
    1 day

Tigist Ayele

Muhammad Ayyan

"It was good, but It seems that to pass the formating assesment is neccesary to add more specific rules, I felt a bit loss after completing all the task about formating."

Cesar Gustavo

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