Fine-tuning and deploying a Stable Diffusion model Pipeline with Cerebrium
Read moreFine-tuning and deploying a LLaMA-based support bot with Cerebrium and LLamaIndex
Fine-tuning and deploying a LLaMA-based support bot with Cerebrium and LLamaIndex
Read moreUnderstanding LLaMA: A Deep Dive into Large Language Model Meta AI
LLaMA, or Large Language Model Meta AI, stands as a significant milestone in the research landscape of natural language processing developed by the FAIR team of Meta AI
Read moreCustomizing the Prompt for Img2Img Model: Techniques for Guiding Image Generation
Read moreDeploying the Prebuilt Img2Img Model with Cerebrium: A Step-by-Step Guide to Image Generation
Learn how to deploy a img2img model on Cerebrium
Read moreIntroduction to Stable Diffusion Img2Img: Shaping the Future of Image Generation
How do Image-to-Image models work
Read moreSpeed 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.
Read moreImprove 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.
Read moreCreating 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!
Read moreCreating a Whatsapp voicenote transcriber using Whisper in 1 hour
Read moreWhy and how to implement a feature store with Feast
Read moreHow to monitor the performance of a fine-tuned GPT-Neo Model
Read moreTrain models like Stable Diffusion and Bloom (175B) using your own computer
Read moreHow to speed up Diffusion to a 2 second inference time 500x improvement
Read moreHow does Claude, the new LLM from Anthropic compare to ChatGPT? A serious contender
Read moreSetFit outperforms GPT-3 while being 1600x smaller
Read moreTracking model versions and experiments with DVC and Dagshub
Read morePractical ways to measure the success of your ML Models in production
Read moreMonitoring ML Models in Production using Arize — Part (2/2)
Following on from our previous article where we showed you how to setup Arize...
Read moreMeta 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...
Read moreMonitoring 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...
Read moreSetting up Python in your Data Science and ML Development Environment
How to best setup your Python environment for machine learning development
Read more