-
Hi,
Thank you for the code release and the continuous support.
In the main paper (Sec 4.2.3) you mention FT experiments following the FT protocol in "Training
data-efficient image transformers & di…
-
## New feature
It would be extremely useful if GPU usage metrics were recorded for GPU tasks.
## Usage scenario
Using GPU resources efficiently on HPC is often a challenge. For example, basec…
-
When using the default settings of
`stochastic_gradient_descend_hyperparam_optimization(X_train, y_train, init_param_guess=np.array([1.0, 100.0]), max_stagnating_iterations=8,
…
-
> 注：本文大段摘抄自 [^2]
**图1：大模型进化树**[^1]
## 0x00 大模型微调
在预训练后，大模型可以获得解决各种任务的通用能力。然而，越来越多的研究表明，大语言模型的能力可以根据特定目标进一步调整。
这就是微调技术，目前主要有两种微调大模型的方法[^2]：
1. 指令微调，目标是增强（或解锁）大语言模型的能力。
2. 对齐微调，目标是将大…
-
This RFC was re-created due to a problem with the original. Summary of comments from previous issue below.
### 🚀 The feature
**TL;DR \-** We want to lean into **modular Multi-Threading/Multi-Pr…
-
### 🐛 Describe the bug
when trying to train both LoRA layers on the base model and also set modules_to_save on the lora config which makes the embeddings layers trainable (my assumption is it also ap…
-
# URL
- https://arxiv.org/abs/2404.03592
# Affiliations
- Zhengxuan Wu, N/A
- Aryaman Arora, N/A
- Zheng Wang, N/A
- Atticus Geiger, N/A
- Dan Jurafsky, N/A
- Christopher D. Manning, N/A
…
-
**As a** LLM researcher
**I need** to develop standardized testing protocols for fine-tuning LLMs
**So that** I can evaluate the effectiveness and efficiency of different fine-tuning strategies
###…
-
###
First I was using the fine-tuning documentation to fine-tune it myself,
Refactoring "yolo_world_v2_s_vlpan_bn_2e-4_80e_8gpus_mask _refine_finetune_coco.pth" from the coco dataset,
but using …
-
## Keyword: efficient
### End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
- **Authors:** Javier Campos, Zhen Dong, Javier Duarte, Amir Gholami, Michael W. Mahoney,…