PyTorch Reviews

Clipdrop Reviews

PyTorch mentions (109)

• Understanding GPT: How To Implement a Simple GPT Model with PyTorch

  In this guide, we provided a comprehensive, step-by-step explanation of how to implement a simple GPT (Generative Pre-trained Transformer) model using PyTorch. We walked through the process of creating a custom dataset, building the GPT model, training it, and generating text. This hands-on implementation demonstrates the fundamental concepts behind the GPT architecture and serves as a foundation for more complex... - Source: dev.to / 4 days ago

• Building a Simple Chatbot using GPT model - part 2

  PyTorch is a powerful and flexible deep learning framework that offers a rich set of features for building and training neural networks. - Source: dev.to / 13 days ago

• Clusters Are Cattle Until You Deploy Ingress

  Oddly enough, sometimes, the best way to learn is by putting forth incorrect opinions or questions. Recently, while wrestling with AI project complexities, I pondered aloud whether all Docker images with AI models would inevitably be bulky due to PyTorch dependencies. To my surprise, this sparked many helpful responses, offering insights into optimizing image sizes. Being willing to be wrong opens up avenues for... - Source: dev.to / 6 days ago

• My Favorite DevTools to Build AI/ML Applications!

  TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more... - Source: dev.to / about 1 month ago

• Functions and operators for Dot and Matrix multiplication and Element-wise calculation in PyTorch

  *My post explains Dot, Matrix and Element-wise multiplication in PyTorch. - Source: dev.to / 3 months ago

Clipdrop mentions (19)

• Difference between burguer and hamburguer?

  I'm trying to use stable diffusion XL at clipdrop.co to generate a patty / burguer / hamburguer meat images, but it looks like it's impossible. I've tried dozens of prompts and the result is always a complete hamburguer. You can check the last two prompts I tested bellow and I'd really appreciate if you could give me some advice on what I can improve in this prompts to get closer to my desired result. Source: 6 months ago

• Stability AI releases its latest image-generating model, Stable Diffusion XL 1.0

  If you want to play around with Stable Diffusion XL: https://clipdrop.co. - Source: Hacker News / 10 months ago

• Just a general notice for the few people still hanging out here

  A lot of mis- and disinformation going on and it seems like it's getting worse fast. Fake people writing on reddit, fake portraits of people online https://www.thispersondoesnotexist.com/ (and that's already old tech), there are already pretty much fully convincing fake human voices in operation (on youtube videos etc.), there are fake people playing online video games and talking "into the mic" etc. Fully... Source: 11 months ago

• 230712 LE SSERAFIM Deskmat Concept

  Photoshop is not the best choice here. If you're new to design, better learn Figma. Adobe didn't pay $20 billion to acquire them for nothing, they know it's a better software. Photoshop is only useful in very specific cases, and even then the free browser version will likely be enough. Plus vector graphics are better in most cases anyway. I do everything for this subreddit in Figma + ClipDrop AI tools and I've... Source: 11 months ago

• SDXL 0.9 does not understand me. Well, at least not on my own machine.

  Hi, first time user of Stable Diffusion (and similar projects) here. I was playing around with SDXL 0.9 on clipdrop.co and wanted to dive a little bit deeper and so I installed SD.Next and downloaded SDXL 0.9. Well, lets say I am confused: I used the same prompt on clipdrop.co and locally, but the results are not even close. Can somebody point me in the right direction? I think I am missing something fundamental. Source: 11 months ago