AI Use Cases
synvert Accelerators
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Shortly after ChatGPT was released in November 2022, synvert began successfully implementing the first generative AI projects for customers. Our solutions cover the full range of applications for businesses using ChatGPT and show how AI optimizes processes, drives innovation and opens up new value creation opportunities.
Shortly after ChatGPT was released in November 2022, synvert began successfully implementing the first generative AI projects for customers. Our solutions cover the full range of applications for businesses using ChatGPT and show how AI optimizes processes, drives innovation and opens up new value creation opportunities.
As a leading data analytics consultancy, we are excited about the transformative power of Generative AI or GenAI. This groundbreaking technology, based on advanced neural networks, opens a new chapter in the world of IT. With Generative AI, we provide companies with innovative solutions for automating processes, creative content creation and optimizing data usage. Generative AI has numerous applications, from automatic text generation to the creation of artwork. It is revolutionizing areas such as content creation, translation and media production.
Generative artificial intelligence (Generative AI) is a complex and fascinating field. It offers enormous potential, but also entails responsibility and the need to carefully consider ethical and practical aspects.
Development and adaptation of an LLM-based model to categorize damage types and extract essential details from insurance damage reports.
Creation of a RAG-based chatbot on Google Cloud to make insurance documents in the areas of life, health and property insurance searchable.
Generation of descriptive and predictive analyses to monitor and control HSE (Health, Safety, Environment) incidents.
Development of a chatbot to support technical engineers in creating technical documentation.
Implementation of a multi-level forecasting model to continuously predict overall demand in e‑commerce.
Development of an LLM-driven chatbot using Llama2 and H2OGPT on CML to answer questions about complex documentation.
Predicting the failure of railroad switches based on historical and current data to optimize maintenance and replacement.
Automated processing of traffic reports using LLM-based systems.
synvert supports companies in the implementation of Generative AI by developing customized models that are tailored to their individual needs. Our expertise in data management and analysis enables us to create realistic and innovative Generative AI applications.
We are experts in the use and further development of GenAI models. We use advanced techniques such as LoRA (Low-Rank Adaptation) to fine-tune foundational models and RAG (Retrieval-Augmented Generation) and FLARE (Forward-Looking Active REtrieval) to improve retrieval and avoid hallucinations.
We design infrastructure and platforms to map the entire (currently constantly changing) life cycle in the context of GenAI. This includes the components of the “classic” MLOps but also more specific ones related to GenAI such as the integration and use of vector databases in the productive implementation of use cases.
Thanks to the planning and implementation of a large number of projects in the field of GenAI, we have gained extensive experience. This expertise enables us to successfully implement your specific use case. Our know-how covers the entire process – from the identification and planning of the first GenAI use case to the effective implementation of further use cases in the production environment.
We have in-depth expertise in the selection and implementation of numerous open source-models in various applications, be it for automatic text generation, translations or chatbots. We show companies how to get the most out of this powerful text generation technology.
Our consulting firm specializes in autoencoder models for data compression and reconstruction, offering training and customized solutions. We also support companies in implementing transfer learning to save time and resources and show them how to adapt existing models.
We deal with ethical aspects in AI, especially the impact of training data on predictions and data privacy. We pay attention to ethical guidelines and data protection in generative AI and offer solutions such as Azure OpenAI and hosting of generative AI models.
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