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- url: https://arxiv.org/pdf/2303.18223.pdf?fbclid=IwAR3GYBQ2P9Cww2HVM3oUbML9i5i3DMDBVv5_FvYWfEi-vdZqZoSM78jE2-s
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Hello. I am using the [pretrained](https://huggingface.co/amphion/valle_librilight_6k) model on 6k of libritts data and i try to finetune it in order for it to speak greek. I use approximately 3.5 hou…
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### Self Checks
- [X] This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
- [X] I have s…
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How Can I Create A Own Pretrained Model For an specific Language . because train an each voice model for my language take too much of time . is this possible ?
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#### Goal
- 다양한 모델 / task / Parameter Efficient Fine-tuning에 대하여 BF16 training 시 성능 관찰 및 분석
#### Role
- 대표적인 PEFT 방법으로 4~5개 NLP/Mulit-modal task에 대해서 BF16 finetuning 때 성능 비교분석
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**GPT4All** runs large language models (LLMs) privately on everyday desktops & laptops.
No API calls or GPUs required - you can just download the application and [get started](https://docs.gpt4all.io…
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```[tasklist]
### Tasks
- [ ] 1. RAG for customer dataset
```
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We need to know about prompt engineering and how to do it.
1) Understand the ChatGPT backend logic from any online blogs.
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Using Onnxruntime and DirectML here are my test results. Unfortunately DirectML is not so good at running LLMS it seems:
Notice how the times leap up when you change the input size from 512 tokens …