In the constantly evolving field of machine learning, particularly in semantic segmentation, the accurate estimation and validation of uncertainty have become increasingly vital. Despite numerous studies claiming advances in uncertainty…
Automate resource provisioning with modern tools 12 min read · 13 hours ago Photo by Ehud Neuhaus on UnsplashModern data stacks consist of various tools and frameworks…
Image Generated with DALL-E
Â
In a time where data analytic processing is the critical difference between a successful business and not, we need a tool stack that…
The practical deployment of multi-billion parameter neural rankers in real-world systems poses a significant challenge in information retrieval (IR). These advanced neural rankers demonstrate high effectiveness but are hampered by…
To Data or Not to Data.. The question is not anymore whether we… | by Erdogan Taskesen | Jan, 2024
The question is not anymore whether we can solve the problem with AI but to what extent it returns sustainable and reliable results. Good craftsmanship, governance, ethics, and education on…
Introduction Prompt engineering, at its core, is the art of conversational alchemy with AI. It's where meticulous crafting of questions or instructions meets the world of generative AI models, transforming…
This week on KDnuggets: We cover what a generative AI developer does, what tools you need to master, and how to get started • An in-depth analysis of Python DataFrame…
The struggle to balance training efficiency with performance has become increasingly pronounced within computer vision. Traditional training methodologies, often reliant on expansive datasets, substantially burden computational resources, creating a notable…
A fully offline use of Whisper ASR and LLaMA-2 GPT Model Raspberry Pi running a LLaMA model, Image by authorNowadays, nobody will be surprised by running a deep learning model…
Image by Freepik
Â
As a data professional, you’ll use SQL all the time. But even if you know SQL, it can be helpful to have a quick reference…