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Previous tests showed that LLM may have some problems when dealing with "similarity" recognition, such as
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P. Sen, B. W. de Carvalho, R. Riegel, A. Gray, Neuro-symbolic inductive logic programmin…
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I'm going to list here comments and ideas that come to my mind as I read through the chapter code.
Note that not all comments need to be addressed. Some of them are juts ideas that can be consider…
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This proposal has been accepted and merged as a draft standard, please see the [officially tracked version](https://github.com/ethereum/EIPs/blob/master/EIPS/eip-721.md) for the current draft.
Plea…
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Hi Thanks for all the effort, I really appreciate it. I enjoy coding in JS and do all things in JS.
Is it a good idea to load the entire json document to get embeddings? What tokenizer should I c…
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I took the example source code - Example38_Pinecone, and pasted it into my simple WinForms application.
The made some changes. Specifically I delete the all the existing indexes and collection before…
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Amazing work! However, I didn't find the text prompt support , is there any plan to release it?
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Hi there
I followed exact instructions from here:
https://artificialcorner.com/gpt4all-is-the-local-chatgpt-for-your-documents-and-it-is-free-df1016bc335
Ran all tests fine.
I uploaded only …
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**Notice by @rricard:** This issue is now only open to discuss the following alternatives: `#{ }`/`#[ ]`, `@{ }`/`@[ ]`, ~~`{| |}`/`[| |]`~~ or `{| }`/`[| ]`
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_Original issue text:_
Most p…
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## After tokenization, you can use a variety of machine learning algorithms to create a model for extractive text summarization. Some of the most common algorithms include:
### Relevance ranking:
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### What is the issue with the answer?
The above question only gives the answer of the ::after. It explains what is ::after and :after but not *::after. Therefore, it should also explain what is *::a…