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GenAI

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Chameleon, a mixed-modal early-fusion foundation model

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

hans May 21, 2024

A new report explores the economic impact of generative AI

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

hans May 9, 2024

GenAI and the job market: a case for optimism

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

hans May 2, 2024

Fraunhofer launches 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.

hans March 24, 2024

Techniques for using language models

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.

hans March 24, 2024

An update on European regulations governing generative models

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

hans February 18, 2024

Local generative models

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

hans February 17, 2024

Mistral: the French start-up that’s making waves

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

hans February 17, 2024

Three ways to not implement GenAI

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

hans February 13, 2024

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