
AI agents and the autonomous company: fiction or near reality?
The autonomous enterprise is no longer just a futuristic idea: intelligent automation, collaborative agents, and data flows are transforming the way organizations operate.

The autonomous enterprise is no longer just a futuristic idea: intelligent automation, collaborative agents, and data flows are transforming the way organizations operate.

Artificial intelligence has revolutionized cybersecurity: while attacks are becoming more sophisticated, organizations that adopt it strategically gain speed, accuracy, and resilience. Are you ready to stay ahead of future threats?

Artificial intelligence has gone from being an emerging tool to becoming a central component of how many organizations operate. Everything you need to know about the new law.

Business applications are key to advanced digitalization, enabling companies to optimize processes and make strategic decisions. By integrating solutions such as ERP, CRM, and analytics, organizations scale efficiently and align technology with their objectives.

In a context of rapid digital transformation, at Excelia we believe that technological innovation is only truly valuable when accompanied by ethical principles. AI has enormous potential, but its positive impact depends on how it is used: with responsibility, transparency, and a human-centered approach.
Explore the potential of large language models (LLMs) in artificial intelligence with LLAMA 2, an advanced tool that enhances natural language processing and optimizes AI applications.

Clibrain launches LINCE, a language model for Spanish, available in LINCE ZERO (open source) and full LINCE versions. It offers advanced solutions for natural language processing, covering a market of over 600 million speakers.

Vector databases are key to optimizing the performance of large language models (LLMs) in AI, improving semantic search, recommendations, and personalized responses.
This article explores how Rasa, an AI-based conversational platform, and Diet, an optimized training model, improve the automation and personalization of interactions through a greater understanding of natural language.

QLoRA and LoRA optimize the use of large language models (LLM) by efficiently adjusting their memory and resources, reducing costs and improving computational efficiency through techniques such as matrix decomposition.
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