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Hello,
I am working on analyzing the DLRM(recommendation model) inference performance on CPUs. Recently, I found CPU performance optimization commits in the native pytorch. So, with the performanc…
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Integrate recommendation system created as part of the initial functional prototype.
1. Create book_recommender.py class
2. Create test_book_recommender.py class
3. Ensure pytest CI is correctly …
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**This is a(n):**
- [x] New algorithm
- [ ] Update to an existing algorithm
- [ ] Error
- [ ] Proposal to the Repository
**Details:**
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@shwetarkadam
I propose implementing a product recommendation system using machine learning (ML) techniques to enhance user experience and drive engagement on our platform. The recommendation system …
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- Abstract (2-3 lines)
Recommendations systems are everywhere around us, and with the explosion of data in the last few years, they are becoming more and more important. Every e-commerce website, whe…
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Allow rating scenes, performers and studios with up to five stars. Recommend other scenes, performers and studios based on mine and other users ratings.
ghost updated
11 months ago
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@altanborali16 will help with the backend design
@kotobusdriver will research and develop
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@Chinmayrane16 Can we have Top-N recommendation as a new feature to the existing one?
We can generate Top-N recommendations from the rating prediction matrix.
This is a feature request 😇
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### Expected Behaviour
The agent should accept and use the custom prompt
### Current Behaviour
options.custom_system_prompt.get('template'),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Attribute…
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We want to evaluate the tradeoffs between using Supabase/pgvector and Rememberizer
So that we can determine the most effective solution for implementing full-text search capabilities for related snip…