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 ...

Abstract: We present an attention-based transformer learning approach for dynamic resource allocation in multi-carrier non-orthogonal multiple access (NOMA) downlink systems. We propose transformer ...

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

Objective: The aim of this study is to identify the challenges and barriers clinical nurses face in disseminating evidence, examine their perspectives on the use of existing LLMs to support evidence ...

I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven enterprise solutions that integrate LLM. I am a Senior Member of Technical Staff at Salesforce, where I build AI-driven ...

Abstract: This paper provides a comprehensive review of the evolution of artificial intelligence from early symbolic, rule-based systems to modern large language models (LLMs) and retrieval-augmented ...

t-prompts turns Python 3.14+ t-strings into navigable trees that preserve full provenance information (expression text, conversions, format specs). Perfect for building, composing, and auditing LLM ...

Semantic SEO helps search engines understand context. Learn how to use entities, topics, and intent to build richer content that ranks higher. Semantic SEO aims to describe the relationships between ...

In this webcast, Dr. Mark Sherman summarizes the results of experiments that were conducted to see if various large language models (LLMs) could correctly identify problems with source code. Finding ...