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L'actualité de l'IA, puisée à la source.

Laboratoires et éditeurs, presse spécialisée, autorités de régulation : les articles récents réunis en un seul fil. Chaque article s'ouvre sur le site qui l'a publié.

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  1. Lilian WengPresse & veilleEN

    Reward Hacking in Reinforcement Learning (s'ouvre sur Lilian Weng, nouvel onglet)

    Reward hacking occurs when a reinforcement learning (RL) agent exploits flaws or ambiguities in the reward function to achieve high rewards, without genuinely learning or completing the intended task. Reward hacking exists because RL environments are often imperfect, and it is fu…

  2. TensorFlowLabs & éditeursEN

    What's new in TensorFlow 2.18 (s'ouvre sur TensorFlow, nouvel onglet)

    Posted by the TensorFlow team TensorFlow 2.18 has been released! Highlights of this release (and 2.17) include NumPy 2.0, LiteRT repository, CUDA Update, Hermetic CUDA and more. For the full release notes, please click here . Note: Release updates on the new multi-backend Keras w…

  3. TensorFlowLabs & éditeursEN

    What's new in TensorFlow 2.17 (s'ouvre sur TensorFlow, nouvel onglet)

    Posted by the TensorFlow team TensorFlow 2.17 has been released! Highlights of this release (and 2.16) include CUDA update, upcoming Numpy 2.0, and more. For the full release notes, please click here . Note: Release updates on the new multi-backend Keras will be published on kera…

  4. Lilian WengPresse & veilleEN

    Extrinsic Hallucinations in LLMs (s'ouvre sur Lilian Weng, nouvel onglet)

    Hallucination in large language models usually refers to the model generating unfaithful, fabricated, inconsistent, or nonsensical content. As a term, hallucination has been somewhat generalized to cases when the model makes mistakes. Here, I would like to narrow down the problem…

  5. Lilian WengPresse & veilleEN

    Diffusion Models for Video Generation (s'ouvre sur Lilian Weng, nouvel onglet)

    Diffusion models have demonstrated strong results on image synthesis in past years. Now the research community has started working on a harder task—using it for video generation. The task itself is a superset of the image case, since an image is a video of 1 frame, and it i…

  6. TensorFlowLabs & éditeursEN

    What's new in TensorFlow 2.16 (s'ouvre sur TensorFlow, nouvel onglet)

    Posted by the TensorFlow team TensorFlow 2.16 has been released! Highlights of this release (and 2.15) include Clang as default compiler for building TensorFlow CPU wheels on Windows, Keras 3 as default version, support for Python 3.12, and much more! For the full release note, p…

  7. Lilian WengPresse & veilleEN

    Thinking about High-Quality Human Data (s'ouvre sur Lilian Weng, nouvel onglet)

    [Special thank you to Ian Kivlichan for many useful pointers (E.g. the 100+ year old Nature paper “Vox populi”) and nice feedback. 🙏 ] High-quality data is the fuel for modern data deep learning model training. Most of the task-specific labeled data comes from human …

  8. Lilian WengPresse & veilleEN

    Adversarial Attacks on LLMs (s'ouvre sur Lilian Weng, nouvel onglet)

    The use of large language models in the real world has strongly accelerated by the launch of ChatGPT. We (including my team at OpenAI, shoutout to them) have invested a lot of effort to build default safe behavior into the model during the alignment process (e.g. via RLHF ). Howe…