
什么是推理型人工智能,它将为人类带来什么?
虽然“推理型人工智能”的前景越来越普遍,但我们或许能够使人类智能的角色有所转变,以取得更好的结果。从第一代简单的聊天机器人到今天的半自主人工智能代理,我们看到了通过将生成能力与面向行动的功能相结合来处理复杂任务的系统。尽管取得了这些进步,但人工智能代理仍然面临重大限制,且在情境理解和复杂推理方面尤为严重。
Anne-Laure Thibaud, a seasoned professional with over two decades of experience in large-scale big-data analytics and AI, has observed the pivotal role that data and insights have come to play in shaping competitive organizations. Since joining Capgemini in 2000, Anne-Laure has risen to a position of global leadership. She now spearheads the company's worldwide portfolio in data, analytics, intelligent automation, AI and Gen AI. Her role is crucial in guiding Capgemini's clients to future-proof their businesses and stand out in today’s data economy, with a particular emphasis on leveraging the full potential of AI and Gen AI at scale and infusing it at the heart of their operations. Her approach centres on delivering trusted and tangible business outcomes out of this new era, working in close collaboration with clients, partners and the innovation ecosystem. Through these partnerships, she strives to foster inclusive, positive and sustainable futures, underscoring the transformative potential of data and AI in driving business success and societal progress.
虽然“推理型人工智能”的前景越来越普遍,但我们或许能够使人类智能的角色有所转变,以取得更好的结果。从第一代简单的聊天机器人到今天的半自主人工智能代理,我们看到了通过将生成能力与面向行动的功能相结合来处理复杂任务的系统。尽管取得了这些进步,但人工智能代理仍然面临重大限制,且在情境理解和复杂推理方面尤为严重。
While the promise of a "reasoning AI" is becoming more and more prevalent, the role of human intelligence may be transformed for better outcomes. From the simple chatbots of the first gen...