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## 論文リンク
https://arxiv.org/abs/2103.00020
## 公開日(yyyy/mm/dd)
2021/01/05
## 概要
OpenAI が発表した DALL·E の中で reranking にも使われていた CLIP (Contrastive Language-Image Pre-training) の論文。
Web 上のテキストから特別な a…
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I reinstall `pip install flash-attn==2.6.1` in NGC pytorch docker image 24.06.
When I run train job, I got follow error:
```
Traceback (most recent call last):
File "/data1/nfs15/nfs/bigdata/zha…
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### [PDF] [Timo: Towards Better Temporal Reasoning for Language M…
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# Issue with Multi-Model Agent Setup in Flowise AI
I'm experiencing issues with a complex agent setup in Flowise AI, attempting to use multiple language models for different purposes. Here's a deta…
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### 🚀 The feature, motivation and pitch
We have a deployment of Llama3.1-8B-Instruct and Llama3.1-70B-Instruct models through vLLM hosted in our OnPremise GPU infra.
While testing different use-ca…
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Not the actual issue of gentle. But could you advice where it is better to look for appropriate models for other (major) languages (DE, SP, IT, FR)?
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https://arxiv.org/abs/1508.06615
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## 一言でいうと
BERT(#959)の中に関係知識が蓄積されていることを実験で確認した研究。Fact関係(a is b)は高い精度で推論できた一方、1:多・多:多の推論精度は低かったという結果。転移学習なしBERT vs 教師あり+関係推定特化モデルでprecision@10が57.1% vs 63.5%となかなかの精度。
### 論文リンク
https://arxiv.o…
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We will need different trained models for different language
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- \[[arxiv](https://arxiv.org/abs/2405.16806)\] Entity Alignment with Noisy Annotations from Large Language Models. \[[code](https://github.com/chensyCN/llm4ea_official)\]