C'est vrai ! Les profs aussi vont rentrer avec les LLM aussi cette année, ça va beaucoup simplifier le travail. Et surtout je suis curieux de voir comment l'IA peut aider à suivre chaque élève
LLMS
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Mistral AI Model Continues Development and Improvement
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Mistral est évidemment une brique sur laquelle nous nous appuyons. Le modèle est encore perfectible, et nous y travaillons.
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Deep-Thinking AI Models Undersold: Market Potential Unrealized
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GPT-5 Pro and Gemini 2.5 Pro Deep Think are both very impressive models for hard problems. I think they were both undersold during their respective launches, in part because I am not sure the labs themselves really understand the market for a slow, "deep-thinking" model, yet.
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TiKMiX: Dynamic Data Influence Mixture for Language Model Pre-training
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TiKMiX Take Data Influence into Dynamic Mixture for Language Model Pre-training
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R-4B: Auto-Thinking MLLMs via Bi-Mode Annealing and RL
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R-4B Incentivizing General-Purpose Auto-Thinking Capability in MLLMs via Bi-Mode Annealing and Reinforce Learning
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Jet-Nemotron and PostNAS Optimize LLM Efficiency-Accuracy Trade-offs
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Jet-Nemotron & PostNAS: Redefining the Efficiency–Accuracy Frontier in LLMs @NVIDIA
’s latest research introduces Jet-Nemotron, a family of hybrid-architecture LMs powered by Post Neural Architecture Search (PostNAS). Instead of costly pretraining from scratch, PostNAS starts -
Instruction to wrap the prompt in XML tags
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Just instruct Claude Code to wrap your prompt in XML tags
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Grok Code Lead 60% Higher Usage Than Claude Sonnet
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Grok Code lead increased to 60% higher usage than Claude Sonnet
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New In-House AI Models: Token Architecture and Efficiency
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Dove into our two new in-house models, token sculpture, scale vs efficiency, and more with @ReedAlbergotti and @semafor this week