Author: admin
7 steps that helped me transition from a software engineer to machine learning engineerI receive a lot of inquiries (a LOT) about how to transition from…
The ability of learning to evaluate is increasingly taking on a pivotal role in the development of modern large multimodal models (LMMs). As pre-training on existing…
Optical Character Recognition (OCR) technology has become a vital component for businesses looking to automate document processing and streamline data extraction.Very simply put, OCR involves scanning…
Oracle NetSuite is the most popular mid-market ERP (enterprise resource planning) software in the world today, and has more than 40,000 customers worldwide.While the core ERP…
Introduction Traditional depth estimation methods often require metadata, such as camera intrinsics, or involve additional processing steps that limit their applicability in real-world scenarios. These limitations…
In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate…
QUICK SUCCESS DATA SCIENCEFilling maps with area measurementsA map of Texas color-filled with the area of Ukraine (by the author)I previously wrote an article on how…
The last time you manually matched an invoice with a purchase order, you overlooked a mismatch in quantities, resulting in overpayment…
Language models have made significant strides in mathematical reasoning, with synthetic data playing a crucial role in their development. However, the field faces significant challenges due…
Dense geometry prediction in computer vision involves estimating properties like depth and surface normals for each pixel in an image. Accurate geometry prediction is critical for…