📁 LLM

The LLM archive monitors model releases, quantization updates, reasoning capabilities, and real-world deployment implications for local and hybrid AI. We focus on what materially changes selection and operations: context windows, latency, memory footprint, licensing, and evaluation evidence across open and commercial families. This section is designed for teams that need dependable model intelligence, not hype cycles. Pair these updates with the LLM pillar and references to hardware constraints and framework integration.

A new framework utilizing large language models to tackle the complex EDA sector has been developed. The solution combines fine-tuning of LLMs with text-to-text regression to significantly improve output format reliability.

2025-12-24 Fonte
📁 LLM AI generated

New Turn for Llama Models...

The technology of Artificial Intelligence (AI) is changing the face of marketing, enabling service agencies to offer more effective and faster solutions to their clients.

2025-12-23 Fonte

Microsoft Copilot is a new tool that supports businesses in Italy, enabling them to leverage artificial intelligence in their workflow. With its integration with Microsoft 365 tools, it provides a default solution for employees working on consulting, delivery, management, and software development.

2025-12-23 Fonte

The recently published Loquacious dataset aims to be a replacement for established English automatic speech recognition (ASR) datasets such as LibriSpeech or TED-Lium. The main goal of the Loquacious dataset is to provide properly defined training and test partitions across many acoustic and language domains, with an open license suitable for both academia and industry.

2025-12-23 Fonte

Google Cloud's 2026 AI Agent Trends Report predicts that AI agents will revolutionize the way we work. This article explores five ways in which AI technology will be transformed to change our working lives.

2025-12-23 Fonte