AI training for Cillero & de Motta team

In-person training course for staff at Cillero & de Motta, a leading Spanish publishing services agency, on the theory and practice of artificial intelligence applied to the language industry.

Cillero & de Motta’s website home page

Qabiria’s course gave us a clear and practical overview of AI and LLMs. It sparked interesting internal discussions and prompted us to revise some processes to better address future customer demands.

Enrique Cillero
Enrique Cillero Managing Partner of Cillero & de Motta

4

training hours

1

course

12

participants

About Cillero & de Motta

Cillero & de Motta is one of Spain’s leaders in quality translation and proofreading. The project, created in 1998, involves an in-house team of 14 full-time and 40 indirect positions. The company’s production unit and headquarters are in Zaragoza.

Case study summary

https://cillerodemotta.com/
Services Training, Artificial intelligence
Languages Spanish

The challenge

The team at Cillero & de Motta, a leading Spanish translation and publishing services agency, wanted to become familiar with the concepts and best practices of artificial intelligence and LLMs to meet growing client demands and optimize workflows.

The solution

We organized a 4-hour in-person training session at Cillero & de Motta's Zaragoza office for internal staff. The program covered:

  • Introduction to AI and basic concepts
  • General view of AI and its evolution
  • Key definitions
  • How LLMs generate human-like texts
  • Main tools based on LLMs
  • Strengths and limitations of LLM-based tools
  • Fundamentals of prompt engineering
  • Strategies for formulating effective prompts and avoiding hallucinations
  • Responsible use of AI
  • How to detect whether a text was created with AI
  • Use cases in the publishing and language industry
  • Economics of AI
  • Open debate

The result

The course was welcomed with satisfaction by both the managers and the rest of the staff. Cillero & de Motta's staff will not only be able to address the challenges posed by technology with greater awareness, but—with the knowledge they have acquired—will also evaluate the adoption of AI in some internal processes, also to meet customer requests.

Further Reading

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