Artificial Intelligence and Large Language Models (LLM): The Key to Sustainable Competitiveness and Business Success AI-Integrated Solutions & Consulting
Noxum offers not only AI and Large Language Model solutions, but also workshops and consulting services. Our extensive expertise in AI and Large Language Models (LLM) supports customers in the successful application of these technologies.
Noxum's holistic approach to AI integration for sustainable business success
The strategic integration of Artificial Intelligence (AI) is crucial for modern companies that want to increase their competitiveness and create innovative business value. At Noxum, we not only offer AI-integrated solutions, but also specialized workshops and consulting services. Our in-depth expertise in AI is aimed at optimally supporting our clients in the implementation and utilization of these transformative technologies. The focus is on generating sustainable business success through intelligent automation, efficient data analysis and personalized user experiences.
Our AI integrations with Large Language Models (LLM):
Automated content creation and personalization
The integration of GPT into your headless CMS NovaDB revolutionizes content creation. This advanced technology not only speeds up the process considerably, but also relieves your marketing and product management teams. The automated creation of personalized content, whether for flyers, brochures, websites or online stores, tailored to different customer groups, holds enormous potential. This not only leads to increased customer satisfaction, but also strengthens customer loyalty as your offers become more relevant and attractive. The holistic automation provided by GPT in NovaDB PIM optimizes operational processes and supports the effective implementation of strategic e-commerce goals.
Authoring Support: Quality and Consistency
High-quality, consistent product information is vital for trust and smooth e-commerce experiences. By integrating LanguageTool, NovaDB ensures automated checks of grammar, style, and consistency—reducing manual effort and boosting both content quality and efficiency.
Innovative assistance: AI chatbots for HR and customer service
Potential of AI-driven chatbots in HR and customer service: Noxum's contribution to practical implementation
The dynamic development of artificial intelligence (AI) and the increasing use of large language models (LLMs) are opening up new, innovative ways to optimize business processes in the areas of human resources (HR) and customer service. Noxum not only understands the transformative power of these technologies, but also has the expertise to help organizations fully leverage the potential of AI chatbots.
AI chatbots in the HR sector
AI chatbots offer significant benefits for HR departments. By automating repetitive tasks such as answering questions about company policies, benefits and onboarding processes, they enable more efficient use of HR resources. These AI-driven systems are available around the clock and provide employees with immediate access to the information they need. This not only increases employee satisfaction, but also optimizes onboarding times and efficiency. By integrating LLMs, the chatbots are able to understand natural language requests and respond to them in context, making interactions particularly user-friendly.
.png?w=2048&etag=j4_O9oGeXviiUygrLgQnww)
AI chatbots in customer service: efficiency and quality around the clock
In customer service, AI chatbots enable fast and efficient responses to customer inquiries. This technology can cover a wide range of questions, from simple product inquiries to more sophisticated support requests. AI-driven chatbots provide instant responses, significantly increasing customer satisfaction and reducing the burden on service teams. By using LLMs, chatbots ensure consistent and high-quality customer interactions, even during peak times or outside of business hours.
In addition, the continuous analysis of chatbot interactions could provide valuable insights into customer preferences and behavior. This data could be used to further improve and customize customer service, which could ultimately lead to even stronger customer loyalty. AI chatbots in customer service would therefore not only be a tool for increasing efficiency, but also a strategic instrument for optimizing the customer relationship.
.png?w=2048&etag=ziLSmwfv_3p0L2FcMNoN9Q)
Noxum's expertise in practical AI implementation
Noxum supports companies in the introduction of these advanced technologies into their existing systems. Our comprehensive expertise includes initial consulting, design, custom solution development, implementation and ongoing optimization. We tailor our approaches to the unique requirements and goals of each organization to ensure that the integration of AI provides the greatest possible benefit.
Navigating data protection aspects in the use of AI with Noxum
In addition, Noxum helps companies to navigate data protection aspects in the use of AI. We strive to implement solutions that are not only powerful but also responsible.
In summary, Noxum's deep technical and industry expertise provides a valuable partnership for organizations interested in practical implementation of AI technologies. As a technology leader in the field of information management systems, we are ideally positioned to support you on your digital transformation journey. Contact us to learn how we can advance your organization with customized AI solutions.
Five of the most frequently asked questions about GPT / ChatGPT
1. can I train GPT with my own data?
Yes, you can train GPT with queries and the expected responses. An example from our area would be to train GPT with product information and technical data for use in customer service as first-level support or as a chatbot for your own website.
2. can I host Chat-GPT myself?
Since the beginning of this year, Microsoft has provided its customers with the option of hosting OpenAI tools such as ChatGPT, Dall-E 3 and GPT-3.5 on their own Microsoft Azure servers. This means that companies have full control over their language models and are not dependent on OpenAI's infrastructure.
3. will my data be used to train other people's language models?
No, if you have your own instance in Azure, the data remains under your full control. The data is not shared with OpenAI. In Azure, companies can run their data and applications in a secure and controlled environment.
4. what does hosting in Azure GPT cost?
The "Azure OpenAI Service" can be operated in Europe (Amsterdam), among other locations. The prices can be found here: Azure Website
In our examples, we have used the "GPT-4" model. You pay per 1000 tokens, where one token is roughly equivalent to one syllable.
5. what is the difference to other translation tools such as DeepL?
Our experience shows that DeepL is still qualitatively better than the GPT language model in the area of pure translation. What makes GPT better is the ability to set tonalities. This allows you to create and translate texts specifically for certain target groups and countries. For example, you can have a text translated specifically for the American market or with a focus on certain features. With DeepL Write, DeepL is also trying to go in this direction. If you like, you can try it out for yourself at DeepL Write.
GPT, ChatGPT, Large Language Model, AI workshops
1-day workshop
Our workshop is aimed at professionals from various industries who are interested in using a large language model (LLM) such as GPT (OpenAI/ChatGPT) and want to learn more about the application possibilities and potentials in the business world. In this workshop, we will not only give an introduction to the LLM, but also discuss practical examples and use cases. In addition, we will look at the challenges and limitations of LLM and discuss ways to overcome them. We are also happy to tailor the content of the workshop to your individual needs.
We tailor our workshop content specifically to your needs. Possible content could include
- Introduction to the LLM: What is a Large Language Model and how does it work?
- Practical examples and applications of the LLM in companies
- Development of application scenarios and use cases in your company
- Training the LLM for specific applications and tasks
- Challenges and limitations when using the LLM in the business sector
- Data protection and data security in connection with the LLM
- Hosting the LLM in Microsoft Azure