Oxen.ai Blog
Welcome to the Oxen.ai blog đ
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 â we're excited to share our journey and learnings with you đ
Every Friday at Oxen.ai we host a public paper club called "Arxiv Dives" to make us smarter Oxen đ đ§ . These are the notes from the group session for reference. If you would like ...
Join the "Nerd Herd" Every Friday at Oxen.ai we host a public paper club called "Arxiv Dives" to make us smarter Oxen đ đ§ . These are the notes from the group session for referen...
Every Friday at Oxen.ai we host a public paper club called "Arxiv Dives" to make us smarter Oxen đ đ§ . These are the notes from the group session for reference. If you would like ...
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...
Introduction Human feedback is essential to the accuracy and continual improvement of generative AI systems. Incorporating human ranking of alternative model outputs into model r...
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....
One of the reasons I love the AI community is the openness to share research and build on top of each otherâs work. It is great to see the community continue to publish state of th...
All machine learning solutions start with a good dataset. The author of âDeep Learning with Pythonâ goes as far as stating Spending more effort and money on data collection almost...
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 recogn...
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 đ đ§ . These are the notes from the group session for...