➀ Retrieval Augmented Generation (RAG) is being developed by Fraunhofer IWU to streamline the process of finding crucial information in extensive technical and legal texts.

➁ The technology is designed to complement Large Language Models (LLMs) by providing precise and exhaustive information.

➂ The team at IWU is using the EU Machinery Regulation (2023/1230) as a demonstration of the technology's capabilities.

Retrieval Augmented Generation (RAG) is making it easier to find information in extensive documents by using large language models (LLMs) and a retrieval system. This method ensures precise and comprehensive information retrieval, which is particularly useful for legal texts and user manuals. The Fraunhofer IWU is developing this technology, which can be used on standard PCs and in the cloud, ensuring data security and privacy.

➀ Zhaoxin has announced the adoption of DeepSeek-R1 LLM across its product lineup;

➁ The company's processors can natively run various DeepSeek models without GPU assistance;

➂ Zhaoxin highlights its KaiXian KX-7000/8 consumer processor and Kaisheng KH-40000/32 server processor for AI performance.

➀ The government has delayed its AI Bill to avoid upsetting the US government, as reported by the Guardian.

➁ The Bill would have required companies using LLMs in AI programs to submit them for vetting to the AI Security Institute.

➂ The intention was to present the Bill to parliament before Christmas, but it will now be postponed until summer.

➀ Apple's AI-powered Siri update, initially planned for iOS 19, has been delayed, highlighting Apple's struggles in AI development.

➁ The integration of advanced AI features is behind schedule, with a modernized Siri not expected until iOS 20 in 2027.

➂ Competitors have surpassed Apple, and internal challenges, including leadership and resource issues, hinder progress.

➀ AI software modeling represents a significant shift from traditional programming, enabling systems to learn from data.

➁ The complexity of AI systems lies in their model parameters, which can number in the billions or trillions.

➂ GPUs have become essential for AI processing, but they face efficiency challenges, particularly during inference with large language models.