Fine-tuning and deploying a Stable Diffusion model Pipeline with Cerebrium

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Fine-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

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Understanding 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

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

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

Learn how to deploy a img2img model on Cerebrium

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

How do Image-to-Image models work

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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.

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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.

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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!

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Creating a Whatsapp voicenote transcriber using Whisper in 1 hour

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Why and how to implement a feature store with Feast

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

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

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

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

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SetFit outperforms GPT-3 while being 1600x smaller

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Tracking model versions and experiments with DVC and Dagshub

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

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

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

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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...

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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...

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Setting up Python in your Data Science and ML Development Environment

How to best setup your Python environment for machine learning development

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