createLiveAI

📄 Towards Data Science

Oct 7, 2025

This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over aYear

Sonnet 4.5, an advanced large language model (LLM), demonstrates a remarkable leap in problem-solving speed by solving a complex puzzle in just 5 seconds, compared to GPT-4o's two-hour timeframe. This rapid performance highlights significant advancements in LLM capabilities within a little over a year, showcasing improvements in reasoning, processing efficiency, and overall AI intelligence.

GPT

Business

Google DeepMind Introduces CodeMender: A New AI Agent that Uses Gemini Deep Think to Automatically Patch Critical Software Vulnerabilities - AI news coverage from MarkTechPost in Business

Business

📄 MarkTechPost

Oct 7, 2025

Google DeepMind Introduces CodeMender: A New AI Agent that Uses Gemini Deep Think to Automatically Patch Critical Software Vulnerabilities

Google DeepMind has developed CodeMender, an advanced AI agent capable of autonomously identifying, fixing, and upstreaming security vulnerabilities in complex software systems. Leveraging Gemini's "Deep Think" reasoning capabilities, CodeMender integrates static and dynamic analysis, fuzzing, and SMT solvers within a multi-agent framework that includes critique reviewers to ensure semantic accuracy and regression safety. Over six months of internal deployment, it successfully contributed 72 patches across open-source projects with codebases up to 4.5 million lines, demonstrating its ability to both reactively patch known issues and proactively eliminate entire classes of

Google AI

📄 MarkTechPost

Oct 6, 2025

A New Agency-Focused Supervision Approach Scales Software AI Agents With Only 78 Examples

Researchers from Shanghai Jiao Tong University and SII Generative AI Research Lab have introduced LIMI ("Less Is More for Agency"), a supervised fine-tuning approach that significantly enhances the capabilities of large language models (LLMs) for software and research tasks using only 78 carefully curated, tool-grounded demonstrations. Unlike traditional methods that rely on vast amounts of instruction data, LIMI emphasizes the importance of data quality and structure, demonstrating that agentic competence scales more effectively with dense, multi-turn trajectories that encompass reasoning, tool use, and environment interactions. Fine-tuning models like GLM-4.

📄 Towards Data Science

Oct 6, 2025

How I Used ChatGPT to Land My Next Data ScienceRole

The article highlights practical AI-driven strategies, particularly leveraging ChatGPT, to enhance each stage of the job search process, from crafting resumes to preparing for interviews. By providing real prompts and examples, it demonstrates how AI tools can streamline job applications, improve communication, and increase the likelihood of securing roles, exemplified by a case where ChatGPT was used to successfully land a data science position.

GPT

Technology

📄 MarkTechPost

Oct 6, 2025

StreamTensor: A PyTorch-to-Accelerator Compiler that Streams LLM Intermediates Across FPGA Dataflows

StreamTensor introduces a novel compiler approach that transforms PyTorch-based large language model (LLM) inference into stream-scheduled dataflow accelerators on AMDs Alveo U55C FPGA, moving away from traditional batched kernel processing to DRAM. By leveraging an innovative abstraction called iterative tensors ("itensors"), the system encodes tile and stream order information, enabling efficient on-chip streaming, fusion, and minimal off-chip memory access, which significantly reduces latency and enhances energy efficiencyup to 0.64 lower latency and nearly double the energy efficiency compared to GPUs on decoding workloads. The

GPT Meta AI

📄 Towards Data Science

Oct 5, 2025

Classical Computer Vision and Perspective Transformation for Sudoku Extraction

The article emphasizes the importance of simplicity in problem-solving, particularly in computer vision applications like Sudoku extraction. It demonstrates how perspective transformation techniques can efficiently extract Sudoku grids from images without overcomplicating the process, highlighting that straightforward solutions often outperform complex ones in clarity and effectiveness.

Computer Vision

VentureBeat AI

📈 VentureBeat AI

Oct 3, 2025

Huawei's new open source technique shrinks LLMs to make them run on less powerful, less expensive hardware

Huaweis Computing Systems Lab in Zurich has developed SINQ (Sinkhorn-Normalized Quantization), an open-source quantization method that significantly reduces the memory footprint of large language models (LLMs) by 6070% without compromising output quality. This calibration-free, fast technique can be seamlessly integrated into existing workflows, enabling models that previously demanded over 60 GB of memory to operate on much more affordable hardware, such as a single Nvidia GeForce RTX 4090, instead of high-end enterprise GPUs like the A100 or H100. The implications of SINQ are substantial, as it

Meta AI NVIDIA

📄 Towards Data Science

Oct 3, 2025

MobileNetV2 Paper Walkthrough: The Smarter TinyGiant

The article discusses the implementation of MobileNetV2 using PyTorch, highlighting its advancements over the original MobileNetV1. MobileNetV2 introduces a more efficient architecture with inverted residual blocks and linear bottlenecks, significantly improving performance and computational efficiency for mobile and embedded vision applications.

General

📄 MarkTechPost

Oct 3, 2025

How to Build an Advanced Voice AI Pipeline with WhisperX for Transcription, Alignment, Analysis, and Export?

The article details an advanced implementation of WhisperX, a speech processing model that enhances transcription accuracy through detailed alignment and word-level timestamping, enabling precise analysis of audio content. By optimizing for memory efficiency and batch processing, the pipeline supports large-scale audio transcription, visualization, and export in multiple formats, facilitating deeper insights such as keyword extraction and content segmentation. This development signifies a significant step forward in voice AI technology, combining high-precision transcription with efficient processing workflows, making it suitable for applications requiring detailed audio analysis, such as media transcription, content indexing, and automated captioning. The tutorial emphasizes technical

📄 Towards Data Science

Oct 1, 2025

Are Foundation Models Ready for Your Production Tabular Data?

The article provides a comprehensive review of various architectures designed to enable zero-shot prediction capabilities across common dataset types, emphasizing their potential for practical deployment. It explores how foundation models can be adapted for production environments, particularly focusing on their application to tabular data, which traditionally posed challenges for zero-shot learning due to its structured nature.