AI Agents: Revolutionizing Artificial Intelligence
In this article, we will delve deep into the world of AI agents, exploring their foundations, their architecture, and the various building blocks that compose them. We will also look at how they can be integrated into different fields, the benefits they bring, and why these technologies are attracting growing interest in businesses and among the general public.
Series of articles on AI
Here is the first article in a four-part series:
- LLMs: understanding what they are and how they work (current article).
- NLP: an exploration of natural language processing.
- AI Agents: a look at autonomous artificial intelligences.
- Comparison and positioning of AI Smarttalk: a summary and perspective.
Introduction​
In recent years, artificial intelligence (AI) has gained increasing popularity, fueled notably by the democratization of powerful natural language processing (NLP) models and large language models (LLMs). Nowadays, these technologies go beyond mere text generation or auto-completion: they give rise to more complex, more autonomous systems capable of acting and interacting on behalf of the user. These systems—commonly referred to as AI agents—are designed to handle all sorts of tasks, from simply answering frequent questions to managing an entire complex process.
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