I am attempting to train CLIP from scratch. However, there is a lack of available datasets. The one dataset that seemed quite diverse and clean seems to be taken down (laion-400m). Looking at HF datasets, these are the two datasets that are promising, but wondering if there has been anything better/ cleaner. - conceptual captions: uses alt-text. - red_caps:...

Everywhere I look for the answer to this question, the responses do little more than anthropomorphize the model. They invariably make claims like: Without examples, the model must infer context and rely on its knowledge to deduce what is expected. This could lead to misunderstandings. One-shot prompting reduces this cognitive load by offering a specific...

I have a flask application, which uses a pretrained ml model ,whose main task is to find embeddings of an image, at a time there may be 100s of images for processing, lets suppose that the 100 image processing takes 80sec to complete, how should i deploy the application on AWS or any other cloud service, such that it takes only 4-5 seconds to process...

In a video about "A little guide to building Large Language Models in 2024" at 41:38 the author starts to talk about the limits of how big the batch size can be. ​ Well, if you start to have a very large batch size, the model for each optimization step makes less efficient use of each token, because the batch size is so big that each token is kind...

Hi guys,I have a problem for which I am not sure what would be the best approach (and I cannot really find any relevant literature).I have a small dataset (~100 measurements like the one attached) of a sensor value, for which I want to predict a certain relevant event. Here t_0 is the relevant moment in time which I want to predict. The problem is,...

"[P]" How to calculate IoU score on yolo v8. I didn't find any inbuilt function to do that. I have trained yolov8n on my custom dataset for object detection which has 1 class. submitted by /u/Ghost-9843 [link] [comments]