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Revolutionise E-Commerce with LLM!
Latest submissions
See Allfailed | 270310 | ||
graded | 270015 | ||
graded | 270011 |
Multi-Agent RL for Trains
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Multi-Agent Reinforcement Learning on Trains
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Multi-Agent Reinforcement Learning on Trains
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Amazon KDD Cup 2023
Latest submissions
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GenpengXu | 0 |
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5vision FlatlandView
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Team_NVIDIA Amazon KDD Cup 2024: Multi-Task Online Shopping Challenge for LLMsView
Amazon KDD Cup 2024: Multi-Task Online Shopping Ch
How to download for huggingface LLM pretrained model
6 months agoOne more question please. Sorry, maybe I missed this. Is the 25GB limit still valid? Or after moving to http://gitlab.aicrowd.com we can use more?
How to download for huggingface LLM pretrained model
6 months agoHi @yilun_jin,
Just to clarify, we can not download models using Dockerfile either, right?
Amazon KDD Cup 24: Shopping Knowledge Reasoning
Failed tag with successful evaluation
5 months agoMy submission was scored correctly, but in the end tagged as βfailedβ.
Wrong samples in Track 2
6 months agoI successfully submitted to Track 2, but I noticed that the progress bar not finished.
I also noticed Retrieval Score
in the issue logs, but I canβt see this score in the leaderboard.
Submission with 500 Server Error
6 months agoI tried to resubmit it, and I get timeout issue. @yilun_jin could you take a look please?
Submission with 500 Server Error
6 months agoIβm not sure if we can submit between phases, but I catch this exception right after I pushed the tag:
Submission failed : 500 Server Error: INTERNAL SERVER ERROR for url: https://aicrowd-api.aws-internal.k8s.aicrowd.com/challenges/?slug=amazon-kdd-cup-24-shopping-knowledge-reasoning
@yilun_jin Could you please rerun it somehow?
Amazon KDD Cup 24: User Behavior Alignment
Not qualified submission
5 months agoI still canβt submit to Track 3.
But my teammate can.
I think itβs happened because I never submitted to this track during Phase 1.
Could you please grant me some access?
Not qualified submission
6 months agoHi, Iβm from the team GPU_IS_ALL_YOU_NEED and AFAIK we are qualified for Track 3 in Phase 2. But when I submitted, Iβve got this:
Submission failed : You have not qualified for this round. Please review the challenge rules at www.aicrowd.com
Flatland
Optimization opportunities in the Flatland environment
Over 4 years agoI highly recommend to replace np.isclose with simple equivalent function:
def my_isclose(x, y, rtol=1.e-5, atol=1.e-8):
return abs(x - y) <= atol + rtol * abs(y)
Here is performance for RailEnv.step before:
912200 function calls (870670 primitive calls) in 1.818 seconds
After
492968 function calls (477640 primitive calls) in 1.161 seconds
[REMINDER] Use Ray for vLLM, and clean up your repo
5 months agoDo you clone whole repo or particular branch/tag? Can we keep different models in different branches?