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AI is playing a key part in reshaping and developing businesses, and in improving people’s daily lives. Different concepts, tools and technologies that use algorithms—such as blockchain, machine and deep learning, natural language processing, generative AI, etc.—are beginning to show exciting possibilities that will support and optimise human intelligence. If guided by an ethical and responsible approach, this field can offer numerous rewards.

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New challenges in AI: building language models that are smaller and more expert

● More resource efficient small language models (SLMs) offer a promising alternative to today’s colossal general purpose LLMs.
● Mixture of experts (MoE), model fusion, and retrieval augmented generation (RAG) are some of the techniques that are under study in the bid to build AIs that are sufficiently compact for smartphone and edge computing deployment.
● However, smaller models with more limited operational capacity may nonetheless give rise to an energy rebound effect.
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The Keys to Accelerated AI Inference: Memory Bandwidth, GPU and Transformers

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Orange OpenTech 2025: AI at the Service of Innovation

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Edge AI: training solutions for more energy-efficient models

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GenAI for support functions: Orange deploys collaborative development

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AI's environmental footprint: understanding, measuring, acting

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