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 reduce GPU costs in high-volume production environments.
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 ...