Today, I'd like to share with you a reflection on the evolution of generative AI and how we've arrived at the era of autonomous agents. This technological progression is fascinating and has major implications for the business world.
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Generative AI has come a long way. It all began with machine learning algorithms: the models of regression <\/strong>and classification <\/strong>such as decision trees<\/strong>the random forests<\/strong>. These initial tools enabled us to recognize patterns and make predictions from structured data.<\/p>\n\n\n\n The next step was the deep learning<\/strong>with the introduction of deep neural networks in the 1980s. However, it was in 2012 that deep learning really took off, thanks to significant advances in image recognition.<\/p>\n\n\n\n Then, in 2017, came the revolutionary concept of Transformers <\/strong>with the famous article \"Attention is All You Need<\/em>. This architecture has revolutionized natural language processing, enabling the design of far more efficient and powerful models. What makes this revolution unique is that the emergence of systems capable of solving tasks for which they have not been explicitly programmed<\/strong>. More than a technological feat, it represents a profound transformation of human-machine interaction: a user can dialogue naturally with an AI, iterate on its requests via a simple chat, and converge on a result that precisely meets its needs.<\/p>\n\n\n\n The culmination of these advances culminated in OpenAI's launch of ChatGPT in November 2022. This milestone marked a major turning point: an AI capable of holding fluid conversations, opening the way to an infinite number of applications in almost every sector. A true revolution in the way artificial intelligence and its uses are conceived.<\/p>\n\n\n\n Whereas traditional chatbots answer users' questions in a predefined way: they're like assistants waiting patiently for our questions. The agents <\/strong>IA, on the other hand, are truly autonomous employees<\/strong>. A difference that changes everything:<\/p>\n\n\n\n This evolution is not just a technological feat; it has concrete implications for businesses:<\/p>\n\n\n\n This transition to autonomous agents marks a paradigm shift in our interaction with machines. We are moving from reactive tools to proactive collaborators. We take a detailed look at :<\/p>\n\n\n\n Would you like to find out more about our solutions for integrating these technologies into your organization? Visit our expertise page dedicated to AI<\/strong> <\/a>or contact us<\/a><\/strong> to talk to our experts. <\/p>\n\n\n\nFrom Chatbots to Autonomous Agents<\/strong><\/h2>\n\n\n\n
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Impact on businesses<\/strong><\/h2>\n\n\n\n
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A new paradigm<\/strong><\/h2>\n\n\n\n
<\/p>\n\n\n\nIn future posts in this series<\/strong><\/h2>\n\n\n\n
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In your sector, how could these agents transform your processes?<\/strong><\/h2>\n\n\n\n