Generative artificial intelligence (AI) is a fascinating advance in the world of technology. This groundbreaking technology is based on neural networks and enables computers to autonomously create content such as text, images and even music. The basic way it works is based on learning patterns and data to then generate creative products.
Generative artificial intelligence (AI) is a fascinating advance in the world of technology. This groundbreaking technology is based on neural networks and enables computers to autonomously create content such as text, images and even music. The basic way it works is based on learning patterns and data to then generate creative products.
As a leading data analytics consultancy, we are excited about the transformative power of Generative Artificial Intelligence (Generative AI or Gen AI). 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.
Text generation and translation: This technology enables automatic translations, content creation and even chatbots for better communication.
Medical imaging: Generative AI can improve medical images, detect pathologies and increase the accuracy of diagnoses.
Manufacturing and design: In industry, generative AI models can help with product development and design optimization.
Realistic simulations: It enables the creation of realistic simulations that are useful in aviation, car design and game development.
Data protection: The protection of confidential data when making requests to the AI is essential. Services such as Azure OpenAI and hosting a generative AI model in your own infrastructure or in the cloud provide a remedy.
Ethics: Ethical considerations include the impact of training data on AI predictions. An example would be racial discrimination in facial recognition technology based on unrepresentative training data.
synvert saracus 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 augmented generation) 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” MLOP, 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 realization 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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