Use Case

EngGPT: our AI-driven assistant for your business

EngGPT, our advanced Large Language Model (LLM), is the basis for a wide range of natural language tasks, such as text generation, classification, synthesis, and translation.

Where: Italy
Mission
Providing a versatile, customizable, and privacy-conscious solution for organizations looking to harness the power of advanced NLP in their specific domains.
Solution
EngGPT stands as an advanced language model pivotal to our open-domain chatbot. It operates as the chatbot's engine, harnessing a suite of algorithms for constructing a language model through transfer learning techniques. This training methodology empowers EngGPT to deliver outcomes comparable to the best closed source models, all while addressing privacy concerns associated with fine-tuning data.
Our model not only upholds conversational quality akin to ChatGPT but also offers the distinct benefit of incorporating proprietary, domain-specific data, safeguarding sensitive business information. The adaptability of EngGPT extends to a wide array of natural language processing tasks, encompassing text generation, classification, summarization, translation, sentiment analysis, and more. You have the option to integrate EngGPT into your operations, whether as a virtual assistant, recommendation system, content generator, or other applications, providing you with a potent and customizable AI solution.
Expected results

Addressing privacy concerns to ensure confidentiality

Customization of Generative AI on specific business domain

Technologies

To know more

ARIEN: an AI platform to combat illegal drug trafficking

A multidisciplinary platform that generates strategic recommendations to shape an agenda dedicated to developing AI solutions, ensuring full legal and ethical compliance.

STARLIGHT: Artificial Intelligence to fight against high priority threats

Better data analysis and management: a project to equip law enforcement agencies with secure and resilient AI technologies and tools.

Use Case

Enable Traceability for AgriFood

How to use digital technologies to improve food chain traceability