Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 ...

Yes, you can build an AI agent - here’s how, using LangFlow

Since ChatGPT made its debut in late 2022, literally dozens of frameworks for building AI agents have emerged. Of them, ...
How-To Geek on MSN

Stop crashing your Python scripts: How to handle massive datasets on any laptop

How chunked arrays turned a frozen machine into a finished climate model ...
IEEE

Evaluating Data Quality and Preprocessing Methods to Enhance Skeleton-Based Action Recognition in Retail Environments

Abstract: The accuracy of skeleton-based action recognition models can be significantly improved using data processing techniques, particularly in complicated environments such as retail stores where ...
Under30CEO on MSN

Analytics that move the needle: Sohan Sethi shapes cost, efficiency, and scale

The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
GitHub

BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation (CVPR 2025)

MMHuman3D — dataset preprocessing utilities, evaluation protocols, and loaders that informed our data pipeline. ZOLLY & PDHuman — PDHuman dataset and related preprocessing guidance and ZOLLY as ...
GitHub

AtlasMap: enabling low-cost, map-style exploration of million-cell single-cell atlases

atlasmap-sc/ ├── preprocessing/ # Python preprocessing pipeline │ ├── atlasmap_preprocess/ │ │ ├── pipeline.py # Main pipeline │ │ ├── binning/ # Quadtree binning │ │ └── io/ # Zarr & SOMA I/O ...
IEEE

Priority-Aware Perception Data Preprocessing and Offloading in Vehicle-Road Collaboration

Abstract: Vehicle-road collaboration is an effective means of improving perception capacities and enhancing safety of intelligent connected vehicles (ICVs). A larger volume of perception data ...