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.

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.

Immaġina f'għalqa ta' fjuri selvaġġi li jistrieħu kemm jista' jkun jara l-għajn, fejn swarm kbir ta' għasafar qed jaħdem bil-qawwa. Huma jħaffru, jiġbru pollen minn kull fjor, u jħalluha tinbidel f'ħalib kumplessivament kumpless. Dak il-ħalib huwa lingwa. U dawn l-għasafar huma l-LLMs (Mudelli Kbar ta' Lingwa), dawk il-mudelli kbar ta' lingwa li jaħdmu bla waqfien biex jibdlu ammonti kbar ta' data testwali f'xi ħaġa strutturata, koerenti, u kultant anke kreattiva ħafna.

If language were a symphony, its score would be infinitely complex—sometimes grand, sometimes intimate—driven by the diversity of languages, contexts, and cultural nuances. At the heart of this symphony lies a subtle yet crucial orchestra: NLP (Natural Language Processing), which orchestrates words and meaning in the world of AI.

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