AI and Insurance, a winning duo
AI and Insurance: A winning duo 📅 Published on September 6, 2024 Artificial Intelligence (AI) involves equipping machines with human […]
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E-commerce with new technologies to overcome major challenges
E-commerce: new technologies to overcome major challenges 📅 Published on September 5, 2024 Introduction The e-commerce market is currently highly
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Understanding artificial intelligence and generative artificial intelligence
Generative AI is at the center of all discussions. However, it can sometimes be challenging to understand AI clearly. To clarify things, here is a brief table of use cases for generative AI and cases that do not fall under generative AI.
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Nakamoto, our AI specialized in cryptocurrency
Satoshi Nakamoto, the creator of Bitcoin, remains one of the most enigmatic figures of our time. To this day, their identity is still unknown and might remain so.
Nakamoto’s primary motivation was to address the flaws of the banking system, particularly the practice of fractional reserve banking, where banks lend out money they don’t actually possess.
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What type of AI?
What type of AI? 📅 Published on August 20, 2024 Today, we are excited to launch a summer series that
AI Accuracy Improvement, All about AI, Artificial Intelligence
Reinforcement Learning Monitoring Feedback (RLMF) system for Aurélia AI
Aurélia AI, the AI that writes our prospecting emails. The idea is straightforward: in sales, you want to send the best possible email to your target audience.
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[2/13] steps to create your own model: Develop a strategy
Following the initial step of determining your use case, the next phase is to develop a strategy that aligns with your goals.
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AURELIA The future of emailing Generative AI at the service of growth
Aurélia allows for the automatic creation of unique and personalized content on a large scale, thus opening new opportunities for businesses looking to optimize their commercial performance.
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Major advances of Moshi in Data Science: A comprehensive overview
Kyutai has introduced Moshi, a groundbreaking open-source multimodal AI model that can listen and speak in real-time, marking a significant advancement in conversational AI technology.
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Understanding RAG, the Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) is the process of enhancing the output of a large language model by referencing an authoritative knowledge base external to its training data sources before generating a response.
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