train_pipeline = [ dict(type='DecordInit'), dict(type='SampleFrames', clip_len=1, frame_interval=1, num_clips=8), dict(type='DecordDecode'), dict(type='Resize', scale=(-1, 256)), dict( type='MultiScaleCrop', input_size=224, scales=(1, 0.875, 0.75, 0.66), random_crop=False...
bash scripts-v0/opt-1.3b/train.generalist.sh Our code should supportany decoder-only LLMs(facebook/opt-1.3b,gpt2-xl,meta-llama/Llama-2-7bor even theLATESTQwen/Qwen1.5-1.8BandQwen/Qwen1.5-4B). Check out the following table for recommended LLMs in different scales!By default, the models...
We then represent the object parts with oriented bounding boxes, which are input to a fine-tuned large language model (LLM) to predict joint articulation as code. By leveraging pre-trained vision and language models, our approach scales elegantly with the number of articulated parts, and ...
Besides interesting tidbits such the ones above, the main focus of this paper is the analysis of task performance for different scales. The evaluation on 152 diverse tasks reveal that increasing model sizes benefits tasks like comprehension, fact-checking, and the identification of toxic language the...
It has been shown that the domain wall speed scales with v ∝ 1/r over the domain radius, which can also be observed in our experiments. For the lowest pump amplitude at p = 0.63, this process continues until the ground state has been reached. We can thus verify that through...
The fact that the simple, hourglass-style CNNs cannot identify the interior of particle as such, can be attributed to an inability of the CNN to learn similar features with different size scales; we suspect that, in an edge-detecting model, the lack of variation in the interior of a ...
adifferences between alternatives should necessarily be expressed in terms of quantitative scales 应该必要表达选择之间的区别根据定量标度[translate] aI hope you can find the other half of the belongs to you 我希望您能发现另外一半属于您[translate] ...
Scalability.MySQL scales to meet the demands of the most accessed applications. MySQL’s native replication architecture enables organizations, including Facebook, Netflix, and Uber, to scale applications to support tens of millions of users or more. ...
Furthermore, we build a larger model with the same size as the teacher model. 4.1 Performance comparison on GLUE In this section, we evaluate the performance of the proposed model on GLUE datasets by comparing it with current ANN and SNN models with similar parameter scales. On one hand, ...
scales. The pixel decoder then produces target masks based on the hidden embeddings from the codebook tokens in conjunction with image features. Thanks to this design, PixelLM can generate high-quality masks without external segmentation models, significantly boosting its efficiency. Furthermore, we ...