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### Describe the bug
Engine's training entrypoint runs validation and test without checking whether validation and tests contain samples.
### Dataset
Folder
### Model
PADiM
### Steps to repr…
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**What would you like to be added/modified**:
Research benchmarks for evaluating LLM and LLM Agent
Develop a personalized LLM Agent using lifelong learning on the KubeEdge-lanvs edge-cloud colla…
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Hi. I'm working on enhancing long sequence forecasting performance through finetuning. I have successfully replicated the zero-shot learning results shown in Table 22 and will use them as a baseline f…
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# INFO
## Author
Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
## Affiliation
## Conference or Year
CVPR2019
## Link
- [arXiv](https://arxiv.org/abs/1903.10132)
- [official Git…
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Hi, I did some experiment on MIT-States.
From my understanding, this is basically a kind of zero shot learning, and it is branded as "unseen combination" recognition task by Red Wine paper.
I have a…
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I just want to test the performance of the few-shot in-context learning capability. But I found an issue. I added the Instruction and response few-shot examples before the question and the generated r…
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1. Prompt Engineering
a. Zero-shot learning
Few-shot learning
Select appropriate key wors
Do not change weights
2. Fine-tuning
a. Instruction-based
b. Domain based
Change the …
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https://techblog.exawizards.com/entry/2023/05/10/055218
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HELM was built during the era of few-shot in-context learning. The field is moving towards instruction-tuned models intended to be used in a zero-shot manner. We should update to HELM to support this.
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Dear author, I am new to this field and I have a detailed question about the methodology. For instance, works like sclip that achieve zero-shot open-vocabulary through clip generally use pamr for post…