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AI Shorts Applications

Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression
ByRicardo July 1, 2026

Google Research launched TabFM, a basis mannequin constructed for tabular knowledge. TabFM performs classification and regression with out dataset-specific coaching. Every prediction comes from a single ahead go. The mannequin reframes tabular prediction as an in-context studying drawback. It is accessible now on Hugging Face and GitHub. TL;DR TabFM predicts on unseen tables with no…

Read More Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression
AI Infrastructure Applications

CUP (Common Useful Python): Building Reliable Python Workflows with Baidu’s Utility Toolkit
ByRicardo July 1, 2026

In this tutorial, we discover CUP, Baidu’s Common Useful Python library, as a sensible utility toolkit for constructing stronger Python workflows. We start by establishing the library in a Colab-friendly setting after which transfer by way of its main subsystems step-by-step, together with logging, decorators, nested configuration, caching, ID technology, thread swimming pools, interruptible threads,…

Read More CUP (Common Useful Python): Building Reliable Python Workflows with Baidu’s Utility Toolkit
Applications Artificial Intelligence

OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing
ByRicardo June 28, 2026

In this tutorial, we construct a sophisticated, self-contained OCRmyPDF workflow. We begin by putting in the required system and Python dependencies, then create an artificial image-only PDF for scanning so we are able to check OCR with out counting on exterior information. From there, we use OCRmyPDF’s actual public API to transform scanned paperwork into…

Read More OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing
Agentic AI Applications

Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export
ByRicardo June 21, 2026June 21, 2026

In this tutorial, we construct a full Crawlee-for-Python workflow that covers atmosphere setup, native web site technology, static crawling, dynamic crawling, structured extraction, and downstream information processing. We start by configuring a appropriate Crawlee runtime with pinned Pydantic help, Playwright browser set up, persistent storage directories, and Colab-safe execution dealing with. We then generate a…

Read More Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export
AI Shorts Applications

Yandex Open-Sources YaFF: A Zero-Copy Wire Format for Protobuf With Near-Struct Read Speed
ByRicardo June 20, 2026

TLDR YaFF is Yandex’s open-source zero-copy wire format for Protobuf — Apache 2.0, at the moment C++, v0.1.0. The .proto file stays the supply of reality; solely the bodily reminiscence format adjustments. On Yandex’s benchmarks, the Flat Layout reads scorching knowledge ~3.8× sooner than FlatBuffers, inside 1.2× of a uncooked C++ struct. Four layouts —…

Read More Yandex Open-Sources YaFF: A Zero-Copy Wire Format for Protobuf With Near-Struct Read Speed
AI Infrastructure Applications

The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache
ByRicardo June 18, 2026June 18, 2026

Long-context giant language fashions (LLMs) face a reminiscence bottleneck that has nothing to do with mannequin weights. During decoding, transformers cache the important thing and worth (KV) vectors for each token at each layer in order that they don’t must recompute consideration. This cache grows linearly with sequence size and batch measurement, and at lengthy…

Read More The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache
AI Shorts Applications

Zyphra Release Zamba2-VL: Hybrid Mamba2–Transformer Vision-Language Models That Cut Time-to-First-Token by About an Order of Magnitude
ByRicardo June 12, 2026

Zyphra has launched Zamba2-VL, a household of open vision-language fashions. The launch covers three sizes: 1.2B, 2.7B, and 7B parameters. Each mannequin is constructed on the Zamba2 hybrid SSM–Transformer spine. Vision-language fashions (VLMs) learn photos and textual content collectively. They reply questions on charts, paperwork, and pictures. Most open VLMs use a dense Transformer because…

Read More Zyphra Release Zamba2-VL: Hybrid Mamba2–Transformer Vision-Language Models That Cut Time-to-First-Token by About an Order of Magnitude
Applications Artificial Intelligence

A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical CT Volumes
ByRicardo June 12, 2026

In this tutorial, we construct an end-to-end 3D medical picture segmentation pipeline utilizing MONAI to phase the spleen on the Medical Segmentation Decathlon Task09 dataset. We work with volumetric CT scans, apply medical imaging transformations similar to orientation alignment, voxel-spacing normalization, depth windowing, foreground cropping, and patch-based sampling, after which prepare a 3D UNet mannequin…

Read More A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical CT Volumes
AI Infrastructure Applications

NVIDIA cuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab
ByRicardo June 9, 2026

In this tutorial, we implement a sophisticated hands-on workflow for NVIDIA cuTile Python, a tile-based GPU programming interface for writing environment friendly CUDA-style kernels instantly in Python. We begin by making ready a Colab-friendly setting, checking the obtainable GPU, driver, CUDA, and cuTile installations earlier than working any kernel code. We then construct tiled examples…

Read More NVIDIA cuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab
Applications Artificial Intelligence

Building Reflective Prompt Optimization with GEPA: Multi-Component Prompts, Structured Feedback, and Held-Out Validation
ByRicardo June 7, 2026

In this tutorial, we use GEPA as a reflective prompt-evolution framework to enhance the way in which a language mannequin solves arithmetic phrase issues. We start with a weak seed immediate, create a small deterministic benchmark, outline a structured evaluator, and move actionable suggestions to GEPA so it could possibly perceive why a candidate immediate…

Read More Building Reflective Prompt Optimization with GEPA: Multi-Component Prompts, Structured Feedback, and Held-Out Validation

Applications

Google AI Introduces TabFM: A Hybrid-Attention Tabular Foundation Model for Zero-Shot Classification and Regression

CUP (Common Useful Python): Building Reliable Python Workflows with Baidu’s Utility Toolkit

OCRmyPDF Tutorial: Convert Scanned Documents into Searchable PDF/A Files with Sidecar Text Extraction and Batch Processing

Crawlee for Python: Build a Web Crawling Pipeline with Robots Handling, Link Graphs, and RAG Chunk Export

Yandex Open-Sources YaFF: A Zero-Copy Wire Format for Protobuf With Near-Struct Read Speed

The KV Cache Compression Race: TurboQuant vs OSCAR vs EpiCache

Zyphra Release Zamba2-VL: Hybrid Mamba2–Transformer Vision-Language Models That Cut Time-to-First-Token by About an Order of Magnitude

A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical CT Volumes

NVIDIA cuTile Python Tutorial: Building Tiled GPU Kernels for Vector Addition, Matrix Addition, and Matrix Multiplication in Colab

Building Reflective Prompt Optimization with GEPA: Multi-Component Prompts, Structured Feedback, and Held-Out Validation

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