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Oxen.ai Blog

Welcome to the Oxen.ai blog ๐Ÿ‚

The team at Oxen.ai is dedicated to helping AI practictioners go from research to production. To help enable this, we host a research paper club on Fridays called ArXiv Dives, where we go over state of the art research and how you can apply it to your own work.

Take a look at our Arxiv Dives, Practical ML Dives as well as a treasure trove of content on how to go from raw datasets to production ready AI/ML systems. We cover everything from prompt engineering, fine-tuning, computer vision, natural language understanding, generative ai, data engineering, to best practices when versioning your data. So, dive in and explore โ€“ we're excited to share our journey and learnings with you ๐Ÿš€

Recent
Arxiv Dives - Language Models are Unsupervised Multitask Learners (GPT-2)
Sep 8, 2023

Every Friday at Oxen.ai we host a public paper club called "Arxiv Dives" to make us smarter Oxen ๐Ÿ‚ ๐Ÿง . These are the notes from the group session for reference. If you would like to join us live, sign up here. The following are the notes from the l...

Arxiv Dives
Creating a Cute Custom Character with Stable Diffusion and Dreambooth
Aug 1, 2023

Introduction Stable Diffusion is an incredible open-source tool for fast, effective generation of novel images across a wide variety of domains. Despite its power and convenience, it can struggle to create consistent, identifiable characters in spe...

Collecting Data from Human Feedback for Generative AI
Jul 26, 2023

Introduction Human feedback is essential to the accuracy and continual improvement of generative AI systems. Incorporating human ranking of alternative model outputs into model reward functions is a key feature of the training protocols for ChatGPT...

Building ML datasets from email with Oxen.ai ๐Ÿ‚ ๐Ÿ“ง
Jul 18, 2023

Making dataset management easier for all stakeholders In a previous post, we showed how Oxen's Remote Workspaces radically simplify the process of contributing to shared datasets. There are many ways to integrate data with Oxen.aiโ€”in this tutorial w...

Machine Inference != Machine Learning
Jul 11, 2023

One of the reasons I love the AI community is the openness to share research and build on top of each otherโ€™s work. It is great to see the community continue to publish state of the art results on Arxiv and GitHub. This helps the community grow and i...

We version our code, why not our data?
Jul 11, 2023

All machine learning solutions start with a good dataset. The author of โ€œDeep Learning with Pythonโ€ goes as far as stating Spending more effort and money on data collection almost always yields a much greater return on investment than spending the s...

๐Ÿ‚ Contribute to Massive Datasets in Seconds with Oxen.aiโ€™s Remote Workspaces
Jul 11, 2023

The datasets used for training and benchmarking machine learning models are incredibly large and continue to grow rapidly. ImageNet, a foundational dataset for visual object recognition tasks, consists of 14 million images across over 20,000 classes....

Generative Deep Learning Book - Chapter 5 - Autoregressive Models
Jun 23, 2023

Join the Oxen.ai "Nerd Herd" Every Friday at Oxen.ai we host a public paper club called "Arxiv Dives" to make us smarter Oxen ๐Ÿ‚ ๐Ÿง . These are the notes from the group session for reference. If you would like to join us live, sign up here. The firs...

Arxiv Dives
Generative Deep Learning Book - Chapter 4 - Generative Adversarial Networks (GANs)
Jun 15, 2023

Join the Oxen.ai "Nerd Herd" Every Friday at Oxen.ai we host a public paper club called "Arxiv Dives" to make us smarter Oxen ๐Ÿ‚ ๐Ÿง . These are the notes from the group session for reference. If you would like to join us live, sign up here. The firs...

Arxiv Dives
Generative Deep Learning Book - Chapter 3 - Variational Auto Encoders
Jun 10, 2023

Join the Oxen.ai "Nerd Herd" Every Friday at Oxen.ai we host a public paper club called "Arxiv Dives" to make us smarter Oxen ๐Ÿ‚ ๐Ÿง . These are the notes from the group session for reference. If you would like to join us live, sign up here. The firs...

Arxiv Dives