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As a user, I would like to be able to have automatic analysis of content.
Specifically,
- Podcasts
- RSS Feeds/Blogposts
- Arxiv/Similar Paper releases
For Podcasts:
- Summarization and mindma…
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**Proposal**: Assess critical variables affecting semantic search quality on legal corpus before implementing semantic search on CL.
**Key Variables**:
- Embedding model
- Chunking strategy
- I…
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### Feature request
🤗 Accelerate has a gradient accumulation wrapper, and the `no_trainer` scripts should be updated to include it!
An example can be seen [here](https://github.com/huggingface/…
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### Project Name
Custom Copilot Full Stack App
### Description
the project has two approaches/paradigms to it:
1)The project can be made to act as your personal AI assistant that has acces…
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Details on OpenAI's new assistants RAG
*Hard* creep into vectorstore territory
Thoughts:
* Default chunk overlap of 50%, super interesting
* Metadata filtering, super interesting how this dips into …
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# Speech Summarization
Speech summarization refers to the process of condensing spoken language into a shorter version while retaining its essential meaning and key points. Speech summarization aim…
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I am trying to evaluate GritLM-7B on MTEB datasets using the provided script.
```
#!/bin/bash
python /home/e/e1347696/unified_encoder_decoder/src/eval/MTEB/eval_mteb.py \
--model_name_or_pat…
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# Speech Summary Matching
Speech summarization refers to the process of condensing spoken language into a shorter version while retaining its essential meaning and key points. Speech summarization…
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### Is your feature request related to a problem?
Search engines have been offering hit highlighting for years. Highlighting matching terms helps end users understand why a particular search result i…
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Great work. I intend to utilize it for my abstractive text summarization paper. Would you be able to upload the related examples? I am interested in evaluating semantic coverage, factuality, informati…