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Retrieval Augmented Generation (RAG) is a process by which relevant documentation is selected from a corpus and appended to a the prompt. This enables specialised and highly focused context to be adde…
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I am using flagbedding well.
Among them, I found something I don't understand.
If the same sentence is inferred from different GPUs on different servers, the value of the embedding vector is differe…
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### A note for the community
* Please vote on this issue by adding a 👍 [reaction](https://blog.github.com/2016-03-10-add-reactions-to-pull-requests-issues-and-comments/) to the original issue to …
fungs updated
2 months ago
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Hello,
I recently updated to the current Gensim version and after this update the following situation arises when using infer_vector (doc2vec):
After loading a saved model I use the infer_vector met…
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Description:
Following up after gaining valuable knowledge from '[OCR0027 Font Style Transfer Research](https://github.com/orgs/OpenPecha/projects/56/views/7?pane=issue&itemId=65728918)', we learn the…
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Prof. Li, thanks for sharing your code. They are really helpful.
I believe these are coding errors after comparison with CBS-H2-RTC.
In the following function:
```
int CBSHeuristic::minimumVert…
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One question:
After encoding a list of sentences.
does it make to average the embedding
of the sentence to form a single one ?
Context
Have a list of sentences per thema,
and need to …
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Hello. Thank you for open-sourcing your interesting work!
I had a question about how to extract `z_steer` given sentence `x` at inference time.
In the unsupervised sentiment transfer example, we…
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**Page Affected:** https://developers.google.com/web/fundamentals/performance/optimizing-content-efficiency/automating-image-optimization/
**What needs to be done?**
There's a typo in the sectio…
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NameError Traceback (most recent call last)
in
3 for line in pos:
4 print(line)
----> 5 sentence_vector = model.embed_sentence(lin…