Customizing the Prompt for Img2Img Model: Techniques for Guiding Image Generation

Deploying the Prebuilt Img2Img Model with Cerebrium: A Step-by-Step Guide to Image Generation

Learn how to deploy a img2img model on Cerebrium

Introduction to Stable Diffusion Img2Img: Shaping the Future of Image Generation

How do Image-to-Image models work

Speed up training and inference of GPT-Neo 1.6B by 45+% using DeepSpeed

In this tutorial we are going to be looking at using DeepSpeed speed up fine-tuning and inference of GPT-Neo.

Improve Stable Diffusion inference by 50%+ with TensorRT or AITemplate

GPUs play an important role in the deployment and inference of ML models, especially in large-scale models.

Creating AvatarAI.me using Supabase and Cerebrium

@levelsio created AvatarAI.me in November that creates AI generated avatars based on photos of you. You can create profile pictures, pet portraits, professional LinkedIn photos and much more!

Creating a Whatsapp voicenote transcriber using Whisper in 1 hour

Why and how to implement a feature store with Feast

How to monitor the performance of a fine-tuned GPT-Neo Model

Train models like Stable Diffusion and Bloom (175B) using your own computer

How to speed up Diffusion to a 2 second inference time 500x improvement

How does Claude, the new LLM from Anthropic compare to ChatGPT? A serious contender

SetFit outperforms GPT-3 while being 1600x smaller

Tracking model versions and experiments with DVC and Dagshub

Practical ways to measure the success of your ML Models in production

Monitoring ML Models in Production using Arize — Part (2/2)

Following on from our previous article where we showed you how to setup Arize...

Meta AI has released a new AI model allowing you to generate videos from text

With the releases of large language and text-to-image (T2I) models such as GPT-3, DALL-E and Stable...

Monitoring ML Models in Production using Arize — Part (1/2)

Once you have a model that is live and in production, the first thing you want...

Setting up Python in your Data Science and ML Development Environment

How to best setup your Python environment for machine learning development