While most organizations rely on out-of-the-box GenAI models, often coupled with prompt engineering, the most differentiated business value comes from tuning models for your domain-specific data and usage—or even creating custom ones. How can you navigate the vast and complex ecosystem of strategies and technologies to maximize these possibilities for your business?
From advisory to GenOps, and in strong partnerships with model providers—whether open-source or commercial—Eviden offers deep expertise to help you in this field. With Eviden, seamlessly integrate models into your applications. Leverage these models with your content through Retrieval-Augmented Generation (RAG). Go one step further by fine-tuning them with your data, or even adapt or create new models tailored to your specific needs!
Our services and solutions
Ready-made model integration
With our AI and hybrid cloud practices (Azure, AWS, GCP, etc.), leverage GenAI expertise to rapidly build high-value applications by integrating and utilizing ready-made models (OpenAI GPT, Gemini, Titan, Claude, Llama, Mistral…). Enrich them with RAG and prepare for the future of intelligent agent-based, multi-model orchestration.
Private model fine-tuning and training
Through our GenAI Expertise Centers, fine-tune and adapt open-source GenAI models, or leverage GenAI frameworks to create new ones. Run them on hybrid AI platforms (such as Databricks, Azure, GCP Vertex, AWS Sagemaker, Snowflake…) or by utilizing private GPU training infrastructure.
Advanced LLMOps and GenOps
From data preparation, embeddings and vector stores, and prompt engineering to training, fine-tuning, and efficient real-time serving, benefit from Eviden’s advanced GenOps offering. Our solution includes a checklist with over 150 items to assess current deployments, more than 100 products, a 10-step build guide with reference architectures for all hyperscalers, and a GenOps console for monitoring and scoring LLMs.