If you take a look at the Intel Liftoff program page for AI startups, after a few seconds you'll notice a name called Intel Tiber Developer Cloud. What it's all about and how AI companies and developers in particular benefit from it is explained in this article. If you talk to operators of AI companies like Beewant and Prediction ..read more

In my last blog post on the topic of large language models (LLMs), I asked (and answered) how companies can "build" their own AI applications based on existing LLMs without neglecting important business principles. These undoubtedly include data protection, the reliability and timeliness of the underlying data. One way out of the possible dilemmas is ..read more

Anwendungen, die auf der generativen Künstlichen Intelligenz (Generative AI oder GenAI) basieren, fußen auf großen, vortrainierten Sprachmodellen, den so genannten LLMs (Large Language Model). Diese Modelle decken zwar einen Großteil der beabsichtigten Anwendungsfälle ab, fußen allerdings meist auf recht generischen Daten. Diese sind nicht immer topaktuell und zuverlässig. Ganz zu schweigen von der Datensicherheit, die … über „So können Unternehmen angepasste GenAI-Anwendungen nutzen ..read more

Der KI-Lexikon-Eintrag zum Thema Machine Learning zeigt es schon, dass diese Form des maschinellen Lernens unabdingbar verknüpft ist mit der Künstlichen Intelligenz und deren Anwendungen. Denn ohne dieses Trainieren sind KI-Lösungen im Grunde gar nicht möglich. Doch worin unterscheidet sich das maschinelle Lernen von seinem „großen Bruder“, dem Deep Learning? Nun, wie der Begriff „tiefes … über „So kommt Deep Learning in KI-Anwendungen zum Einsatz ..read more

It was not even 72 hours ago that the 33rd modern Olympic Summer Games were declared over. For many spectators, this edition was a very special one. What many may not realize is that artificial intelligence played an enormous role during the 19 days. This article highlights which areas were affected. For ..read more

Yes, I admit it: I'm an iPhone user from the very beginning. I actually got to use the Apple smartphone a week after it was officially released. A lot has happened since then in terms of the gadget's capabilities and skills. This includes, above all, the digital voice assistant called Siri, which I've been using for quite some time ..read more

Filling an AI application with the right data is a real challenge for many software developers. But even if they succeed in doing this - either based on their own or already trained AI models - they often face another challenge: How can I ensure that my AI model runs as efficiently and energy-efficiently as possible on the underlying computer system ..read more

The AI ​​lexicon article “Neural Networks” states: The methods of artificial intelligence are largely based on the way the human brain works. This means above all that we anticipate and learn new things based on our existing knowledge. In order to achieve this with the help of a computer system, large amounts of data are required in the context of NLP-based AI applications (Natural Language Processing ..read more

Artificial intelligence is increasingly taking up space in the professional and private lives of many users. However, this also increases concerns about how to use this technology in a trustworthy and appropriate manner. Intel is therefore addressing this issue for a variety of reasons using various activities and programs. An overview. What some call responsible artificial intelligence ..read more

Machine learning (ML) is what makes artificial intelligence applications possible in the first place. Machine learning enables AI applications and systems to interpret data in an appropriate manner. This then results in the "finished" AI system. Machine learning therefore enables the AI ​​application to be trained, which results in the desired data model ..read more