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Hi Emmanuel Noutahi,
I trust this message finds you well. I recently came across your article on the impressive performance of the representation SAFE in reverse molecular design. I have a few ques…
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### 问题描述 Issue Description
在龙芯3A5000上安装麒麟V10系统后,编译paddle报错问题
### 版本&环境信息 Version & Environment Information
## 系统信息
```bash
rongsi@PC-pc:/data/work/lib/Paddle$ arch
loongarch64
rongsi@PC-pc:…
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Hello! I try to use [gpt2-sentiment_peft.py](https://github.com/lvwerra/trl/blob/44f708ee15612780acfe64a936613e922d68ff81/examples/sentiment/scripts/gpt2-sentiment_peft.py) and I was change the model …
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## Keyword: differential privacy
### State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
- **Authors:** Chaoyu Zhang
- **Subjects:** Cryptography an…
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## Keyword: sgd
There is no result
## Keyword: optimization
### Joint Information and Mechanism Design for Queues with Heterogeneous Users
- **Authors:** Authors: Nasimeh Heydaribeni, Achilleas Ana…
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**Submitting author:** @mrava87 (Matteo Ravasi)
**Repository:** http://github.com/pylops/pyproximal/
**Branch with paper.md** (empty if default branch): joss
**Version:** v0.8.0
**Editor:** @sappe…
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This will increase accuracy as well as stop the model from getting outdated.
gran4 updated
12 months ago
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In the Proximal Policy Optimization (PPO) trainer implementation (specifically in [this file](https://github.com/Anthropic/trl/blob/main/trl/trainers/ppo.py)), the total reward function calculates the…
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I am not sure how to train DSPy to synthesize long, detailed answers such as those are required for "how to" questions. So far, I have tried training on long examples with RAG and SimplifiedBaleen; an…
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**Is your feature request related to a problem? Please describe.**
Hi! @kursathalat and @davidberenstein1957 doing a demo today, I've realized we don't have simple way to setup a preference datas…