Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to ...
Computer Weekly

Pathway builds truly native reasoning model to solve LLM Sudoku stumbling blocks

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...
EDN

Balun transformers: Linking balanced to unbalanced

Baluns enable impedance matching, minimize signal distortion, and suppress common-mode noise in RF and high-frequency designs ...
GitHub

NLP Classification on imdb (huggingface) — Transformer fine-tuning

An end-to-end NLP classification project on IMDb (Hugging Face), comparing a TF‑IDF baseline to a stronger model with automated reporting. Includes an optional Transformer fine-tuning mode when the ...
GitHub

Automated Resume Screening and Skill Gap Analysis Using NLP

An NLP-powered recruitment automation system that utilizes Transformer-based models (BERT/S-BERT) for semantic resume screening, skill extraction, and automated skill gap analysis. The recruitment ...
marktechpost

A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text

We will build a Regression Language Model (RLM), a model that predicts continuous numerical values directly from text sequences in this coding implementation. Instead of classifying or generating text ...
IEEE

PrivTF: Efficient and Privacy-Preserving Transformer Inference With Optimized Protocols for Secure NLP

Abstract: As many natural language processing services employ language models like Transformer in the cloud, privacy concerns arise for both users and model owners. Secure inference is proposed in the ...
tech2geek

Advanced NLP Tools in 2026: The Ultimate Guide to Language AI & Automation

Natural Language Processing (NLP) has moved far beyond simple chatbots and keyword matching. In 2026, advanced NLP tools are powering enterprise automation, AI copilots, multilingual content ...