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Create Named Entity Recognition Skill #30
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Hi, @tianchiguaixia ! Absolutely, do you have any use case in mind to test it out? |
I have many projects that structure the results of text and image OCR. If using BERT, it is necessary to continuously annotate data for training, which incurs a significant time cost.
The ideal method is to use LLM+system knowledge (existing knowledge) for information extraction and NER As knowledge (already filled into the system) increases, the model's effectiveness improves Uploading WeChat_20231108103427.mp4… |
Hello, can you do this NER task first? Approximately when can I try it out |
Supporting NER tasks is very important, and there are many application scenarios. Can we support this first? |
Hey, @tianchiguaixia , happy to implement that as soon as possible. Any ideas on how to most efficiently match entities from text using LLM? |
The entities in the text cannot be matched all at once, and the evaluation criteria are also different. We need to rely on each incoming sample and continuously let the model learn. Make the model smarter and smarter. How to evaluate the quality of learning is to evaluate the data that has been artificially corrected and the data that has been passed in. |
This is when I use space_llm and ChatGPT API to Implementation cases Rec.0004.mp4 |
Rec.0002.mp4 |
Rec.0006.mp4 |
Hello, may I ask how to input the picture information into ChatGPT? Are you using a multi-modal model to do this? |
没有啊。我直接使用的OCR+LLM |
您好,方便我加您个微信吗,想要具体了解下您这边是怎么实现的,感觉您在页面上展示的功能太炫酷了 |
tianchiguaixia2023 |
您好,您提供的是微信号啊,我这边找不到您,要不麻烦您加我一下 |
您是不是设置了陌生人不允许添加您的设置 |
I am interested in tackling the NER skill implementation if the task is still open. I have multiple use cases at work where something like this would be valuable. |
Hello guys @Sean-Koval @tianchiguaixia @tianbuwei we are going to implement a simple version of NER skill in #57 Happy to get your feedback / suggestions on it! |
您好,我也在做基于llm的ner任务,我的数据是非结构化的合同文本。llm提取后一些甲乙方标签集效果不是很好,如:甲乙混淆,甲乙方提取到同一个实体等等。方便的话想和您详细讨论一下。 |
提示词 |
This is very important. Can we do this first?
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