Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition…
For new data science managers, running a team can be tough. The responsibilities of leadership often come with a steep learning curve. However, by focusing on building a supportive, ambitious, and…
Every day, numerous data science projects are discarded due to insufficient prediction accuracy. It’s a regrettable outcome, considering that often these models could be exceptionally well-suited for…
Developer’s Guide to Hosting any ML Model and Charging for It. “Build a Personal ML Model Registry with Replicate in 5 mins” is published by Tim Cvetko in Towards AI.
Parsing structured data from Large Language Models (LLMs) can be frustrating for anything beyond toy problems. Yet, reliably parsing LLM outputs into pre-defined structures is crucial to integrating…
Imagine RAG as highly intelligent librarian who can sift through a digital library in seconds to answer your questions. Sometimes the librarian finds relevant and useful information to answer your…
One of the most interesting tasks in deep learning is to recognise objects in natural scenes. The ability to interpret visual data through machine learning algorithms holds significant practical…
This week was busy with significant model upgrades to GPT-4 Turbo, Grok 1.5, and Google Gemma model series, as well as a new open-source model from Mistral and Gemini Pro 1.5 going into wider…
Little did I know that a big part of a data scientist's job is to explain models in non-technical terms. All we need to understand a linear model is a regression summary. But this table of numbers…
The annual Conference on Computer Vision and Pattern Recognition (CVPR) has always been a beacon for cutting-edge research in the tech community. CVPR 2024 is no exception, particularly with its…
