GenAI

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Chameleon, ein gemischt-modales Early-Fusion-Grundlagenmodell

In a new paper, Meta announces ๐‚๐ก๐š๐ฆ๐ž๐ฅ๐ž๐จ๐ง, a ๐ฆ๐ข๐ฑ๐ž๐-๐ฆ๐จ๐๐š๐ฅ ๐ž๐š๐ซ๐ฅ๐ฒ-๐Ÿ๐ฎ๐ฌ๐ข๐จ๐ง foundation model. Contrary to earlier multimodal models, which model the different modalities (text, image, audio, etc.) separately, mixed-modal early-fusion foundation models like Chameleon are end-to-end models. They ingest all modalities from the start and project them into one representational space. That permits integrating information across

Ein neuer Bericht untersucht die wirtschaftlichen Auswirkungen der generativen KI

I resisted the temptation to have a GenAI summarize theย ๐„๐œ๐จ๐ง๐จ๐ฆ๐ข๐œ ๐ˆ๐ฆ๐ฉ๐š๐œ๐ญ ๐จ๐Ÿ ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐ฏ๐ž ๐€๐ˆย report by Andrew McAfee (MIT). At around 20 pages long (excluding references), the report delivers on the titleโ€™s promise in less than one hour of reading. It explains how ๐†๐ž๐ง๐€๐ˆ ๐ข๐ฌ ๐š ๐ ๐ž๐ง๐ž๐ซ๐š๐ฅ-๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐ž ๐ญ๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ that is rapidly improving, becoming pervasive, and spurring

GenAI und der Arbeitsmarkt: ein Fall fรผr Optimismus

I resisted the temptation to have a GenAI summarize the ๐„๐œ๐จ๐ง๐จ๐ฆ๐ข๐œ ๐ˆ๐ฆ๐ฉ๐š๐œ๐ญ ๐จ๐Ÿ ๐†๐ž๐ง๐ž๐ซ๐š๐ญ๐ข๐ฏ๐ž ๐€๐ˆ report by Andrew McAfee (MIT). At around 20 pages long (excluding references), the report delivers on the titleโ€™s promise in less than one hour of reading. It explains how ๐†๐ž๐ง๐€๐ˆ ๐ข๐ฌ ๐š ๐ ๐ž๐ง๐ž๐ซ๐š๐ฅ-๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐ž ๐ญ๐ž๐œ๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ that is rapidly improving, becoming pervasive, and

Fraunhofer startet FhGenie

The Fraunhofer Gesellschaft, one of Germany’s largest and most renowned research agencies, published a paper “FhGenie: A Custom, Confidentiality-preserving Chat AI for Corporate and Scientific Use“, in which the authors describe a customized chat AI, baptized FHGenie. The paper describes the motivation and requirements leading to the design, as well as the solution’s architecture. 1.

Techniken zur Nutzung von Sprachmodellen

One of the weaknesses of the models currently available on the market is that they have been trained on a publicly accessible data set, which may not necessarily be sufficient to meet certain specific needs. Take, for example, a company with a large volume of proprietary data, a highly specialized vocabulary or specific data formats.

Ein Update zu den europรคischen Vorschriften fรผr generative Modelle

You’ve probably read or heard about it in the media over the last few days: the European institutions reached an agreement on the future regulation of Artificial Intelligence on Friday December 8. This is the famous European Artificial Intelligence Act, the broad outlines of which I had already outlined in a previous article. At the

Lokale generative Modelle

Introduction While 2023 was dominated by cloud-based models such as chatGPT and Claude, this approach could well change this year. This is due to the rapid progress of open-source models, which are gradually closing the gap with proprietary models. These open-source models make it possible to run models locally, which opens up new perspectives that

Mistral: das franzรถsische Start-up, das Wellen schlรคgt

Over the past few weeks, French start-up Mistral has been making a lot of waves in the world of generative AI. Founded in May 2023 by three engineers from Google Deepmind, Mistral has already raised 385 million euros in capital in six months and is currently valued at around 2 billion euros! This unbridled growth

Drei Wege, GenAI nicht zu implementieren

In his blog On holding back the strange AI tide, Ethan Mollick observes how the arrival of powerful AI systems like ChatGPT has been sudden and disruptive. These systems can now do many tasks previously reserved for humans, causing major impacts across work and life without warning or preparation. Many leaders are desperately trying to

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