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  3. Amazon KDD Cup 2024: Multi-Task Online Shopping Challenge for LLMs
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Amazon KDD Cup 2024: Multi-Task Online Shopping Challenge for LLMs

A research llm competition requiring roughly 40–80 hours for an end-to-end practice run.

Difficulty
Research
Estimated effort
40–80 hours
Registration deadline
To be confirmed
Compute
High compute
OverviewPreparationSource

Overview

Who this competition fits

Experienced ML practitioners and researchers with strong NLP and LLM backgrounds. Suited for those interested in applying large language models to real-world e-commerce tasks across multiple domains simultaneously.

Read the original official blurb
Multi-task online shopping challenge using LLMs for product question answering, sentiment analysis, and other e-commerce tasks. Part of the prestigious KDD Cup 2024.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    Large Language Models

  3. 03

    NLP fundamentals

  4. 04

    Multi-task learning

  5. 05

    Prompt engineering

  6. 06

    Text classification and extraction

Before you commit: Requires building a single LLM-based system that performs well across five distinct e-commerce tasks including product QA, review sentiment, and attribute extraction. Balancing performance across all tasks while meeting inference constraints is extremely challenging.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
AIcrowd
Last checked
Not recorded

Entry assessment

est.
12

Prepare before joining

Overall fit estimate

Beginner fit12/100
Learning value90/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

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Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Published on this site
Mar 14, 2026