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Large Language Models (LLMs) have revolutionized natural language processing but face significant challenges in handling very long sequences. The primary issue stems from the Transformer architecture’s…
Time series modeling is vital across many fields, including demand planning, anomaly detection, and weather forecasting, but it faces challenges like high dimensionality, non-linearity, and distribution…
Data Mesh trends in data platform designAI-generated image using KandinskyIn this article, I aim to delve into the various types of data platform architectures, taking a…
Exploring the benefits and pitfalls of using Apple’s popular tablet for data science work10 min read·17 hours agoTitle card created by the authorA few years ago…
Managing receipts can be a challenge, but the right app can simplify the process. We’ve researched 25+ free and paid receipt apps to bring you the best…
🐝 Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others……
🐝 Join the Fastest Growing AI Research Newsletter Read by Researchers from Google + NVIDIA + Meta + Stanford + MIT + Microsoft and many others……
A Step-by-Step Guide to Document Querying with IndexifyPhoto by Tierra Mallorca on UnsplashTLDR:Traditional data extraction methods often miss deeper insights from unstructured content, particularly in the…
Introduction of Python’s core functions, use cases, scripts, and underlying mechanisms10 min read·16 hours agoPhoto by Kevin Ku on UnsplashI discussed SQL User-Defined Functions in my…
3D occupancy estimation methods initially relied heavily on supervised training approaches requiring extensive 3D annotations, which limited scalability. Self-supervised and weakly-supervised learning techniques emerged to address…