AI training
Maximize the potential of your AI with tailored solutions
Professional AI training
We offer consulting and development dedicated to training AI models and LLMs (Large Language Models), helping you create solutions that truly adhere to your business goals. Thanks to our experience and collaboration with highly specialized teams, we are able to:
- AI trainingTrain LLM models from your business data, improving the specific understanding of your content, processes, and customers.
- develop RAG systemsDevelop RAG (Retrieval-Augmented Generation) systems, which combine the power of generative models with access to dynamic and updatable databases, ensuring more relevant, secure and contextual answers.
- Customizing integrationsCustomize the integration of AI models within your applications, optimizing performance, reliability, and security
Through an in-depth analysis of your needs, we build solutions capable of integrating artificial intelligence into your business flows in a natural and efficient way.
A good model starts with a Flawless management of data.
Competitive Advantage
the AI training process
The training of AI and therefore of Artificial Intelligence models requires advanced skills in Data Engineering, accurate management of datasets and a conscious use of computational resources, which are often very expensive. We help you optimize the entire process:
Concrete innovation, real benefits
Why rely on us?
Relying on us means having access to an approach oriented towards quality and innovation.
We collaborate with professionals experienced in the development of advanced AI systems, ensuring solid technical support, meticulous attention to data and a pro-active vision in the management of complex models.
Our goal is to make AI a concrete accelerator for your business, transforming technology into real value.
In recent years, the training of artificial intelligence models has become an essential strategic element for companies and professionals who want to obtain truly tailor-made solutions.
Technologies such as advanced language models — such as ChatGPT — have shown how targeted training can improve efficiency, optimize processes, and create new business opportunities.
Whether it’s specializing a model on enterprise data, personalizing the user experience, or developing advanced predictive capabilities, intelligent training is a key competitive key today.
Want to learn how AI training can revolutionize your projects too?
Visit our AI Focus to explore the world of AI or write to us: our team is ready to listen to your needs, propose tailored training strategies and help you get the most out of your artificial intelligence.
frequently asked questions
What does it mean to train an AI model on your own company data?
With AI training, Jinni trains LLMs on company data so that they better understand the company’s own content, processes and customers. The result is an artificial intelligence solution aligned with business goals, rather than a generic model. Jinni provides both consulting and dedicated development for this kind of training.
What is a RAG system and what is it used for in a company?
A RAG (Retrieval-Augmented Generation) system combines a generative artificial intelligence model with access to dynamic, updatable databases. This way, answers are based on up-to-date company information and are more relevant, secure and contextual. Jinni develops RAG systems as part of its AI training services.
Why does training an AI model require so much care with data and computing resources?
A good model starts with flawless data management: AI training requires Data Engineering skills, carefully curated datasets and a considered use of computing resources that are often very expensive. That is why Jinni selects the right data and prepares it in the correct format, uses high-performance computing infrastructure strategically to avoid wasting time and budget, and monitors every stage of training until the model truly performs.
Can a trained AI model be integrated into company applications?
Yes. Beyond training, Jinni customises the integration of AI models into the company’s applications, optimising their performance, reliability and security. The work starts from an in-depth analysis of requirements, so that artificial intelligence fits into business workflows naturally and efficiently.
