Stack

Learn how to Import Pre-Annotated Data into Label Studio and Run the Full Stack with Docker

Dataset preparation for an object detection training workflow can take a protracted time and infrequently be frustrating. Label Studio, an open-source data annotation tool, can assist by providing a simple strategy to annotate datasets....

Layers of the AI Stack, Explained Simply

of Contents Introduction The AI space is an enormous and sophisticated landscape. Matt Turck famously does his Machine Learning, AI, and Data (MAD) landscape yearly, and it all the time seems to get crazier and crazier....

Gen-AI Safety Landscape: A Guide to the Mitigation Stack for Text-to-Image Models

There's also a big area of risk as documented in where marginalized groups are related to harmful connotations reinforcing societal hateful stereotypes. For instance, representation of demographic groups that conflates humans with animals...

What Goes Into AI? Exploring the GenAI Technology Stack

You’ve heard of OpenAI and Nvidia, but do you recognize who else is involved within the AI wave and the way all of them fit together?16 min read·11 hours agoAt essentially the most basic...

Data Modeling Techniques for the Post-Modern Data Stack

A set of generic techniques and principles to design a sturdy, cost-efficient, and scalable data model to your post-modern data stack.Over the past few years, because the Modern Data Stack (MDS) introduced latest patterns...

“Development of ‘defense AI’ based on AI full stack built over 10 years”

"Development of 'defense AI' based on AI full stack built over 10 years"

BEV Perception in Mass Production Autonomous Driving The Necessity of End-to-end Systems Perception 2.0: End-to-end Perception XNet: BEV Perception Stack from Xpeng Motors The Future Takeaways References

The Recipe of XNet from Xpeng MotorsThis blog post relies on the invited talk within the End-to-end Autonomous Driving Workshop at CVPR 2023 held in Vancouver, titled “The Practice of Mass Production Autonomous Driving...

LLMs and the Emerging ML Tech Stack

Authors: Harrison Chase and Brian RaymondThe pace of development within the Large Language Model (LLM) space has exploded over the past several months and probably the most interesting storylines has been the rapid shift...

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