Strategy, Mkt & Comms
Resources
Resources
Topic
Proposal for students of Telecommunications Engineering in search of their final proyect (4th year).
Introduction
In Telefónica Empresas we approached the digital transformation of the digital sector considering the current context where generative AI is a relevant driver of change.
Many times we find that our customers do not know their real capabilities and that is why we need to work on use cases that bring them closer.
Challenge raised
The Final Degree Project will offer a research, development and documentation project exploring and analyzing the whole process: from the initial training of a first AI with industrial data to the generation and adjustment of new data, highlighting how the interaction between both AI layers improves the quality and applicability of the generated content.
The project will consist of building a generative AI demonstrator using an existing commercial AI tool.
We will explore a case and process as real as possible in the industrial sector (manufacturing, automotive, energy, etc).
The project will focus on the development and implementation of a generative AI model based on a large language model (LLM).
This advanced AI model will be designed to learn, create and optimize information from an initial set of specific data.
The first generative AI will be programmed and trained with specific data about an industrial process. This AI will be able to generate new information and solutions based on the initial data provided, even creating data that has not been explicitly programmed.
It will use a self-assessment process in which it will ask itself new questions and generate its own answers, improving its understanding and ability to generate useful content.
Subsequently, all the knowledge generated by this first AI will be transmitted to a second generative AI. This second AI will act as a practical demonstration, showing how the generated content has been optimized and prepared for application in real scenarios.
