AI & LLM

Module 1 — Strategy & potential analysis

Goal: determine how AI and LLMs deliver the greatest benefit for your company.

Contents: identification of suitable use cases (e.g. automated customer service, text analysis, knowledge bases) · profitability and feasibility analysis · development of a roadmap for introducing AI and LLM solutions · workshops for executives on opportunities, risks and legal frameworks.

Module 2 — Technical implementation & integration

Goal: planning and implementation of your LLM and AI infrastructure.

Contents: selection and integration of models (e.g. GPT, Llama) matched to data volume, security requirements and budget · training and fine-tuning of models with your own company data · development of interfaces (APIs) for integration into existing systems · performance optimisation, testing and roll-out.

Module 3 — Governance, security & operations

Goal: ensuring the sustainable and compliant use of your AI solutions.

Contents: creation of governance rules and guidelines for the secure handling of data and AI · implementation of data protection and compliance requirements (GDPR, AI regulation) · monitoring, quality assurance and continuous improvement of the models · training for your teams on responsible AI use.

References

Selected customers and projects: References(05) — from Commerzbank to the Alligator energy-management platform.

With this modular approach you stay flexible: you can use one, two or all three modules — depending on the needs and maturity of your project.

TechHub EU accompanies you from the first idea to the successful operation of your AI solutions.