Tag: LLM
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A new report explores the economic impact of generative AI
I resisted the temptation to have a GenAI summarize theย ๐๐๐จ๐ง๐จ๐ฆ๐ข๐ ๐๐ฆ๐ฉ๐๐๐ญ ๐จ๐ ๐๐๐ง๐๐ซ๐๐ญ๐ข๐ฏ๐ ๐๐ย report by Andrew McAfee (MIT). At around 20 pages long (excluding references), the report delivers on the titleโs promise in less than one hour of reading. It explains how ๐๐๐ง๐๐ ๐ข๐ฌ ๐ ๐ ๐๐ง๐๐ซ๐๐ฅ-๐ฉ๐ฎ๐ซ๐ฉ๐จ๐ฌ๐ ๐ญ๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ that is rapidly improving, becoming pervasive, and spurring…
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GenAI’s copyright issues driving model diversity
This weekโs edition of the Economist (subscribers only) ran a feature on artificial intelligence and copyright. Generative AIs have been and continue to be trained on copyrighted material, including texts, images, music, videos, and more. Not all creators are amused. Some have chosen to sue the companies developing these Generative AI models. Others, including Associated…
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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.…
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Copyright and generative AI
To kick off 2024, I’d like to talk about the current copyright situation for generative models. This is a highly topical issue, since two lawsuits on this subject are currently before the Anglo-Saxon courts: the first, in Great Britain, pits the Getty Images image library against Stability AI, a company that supplies an image-generating model.…
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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…
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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…
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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…
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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…