Large language models (LLMs) are rapidly becoming integral to modern business operations. The emergence of Agentic AI is now enabling these LLMs to tackle complex tasks through seamless integration with other tools, automating workflows and boosting efficiency. As companies explore the potential of these technologies, a key challenge is understanding how to effectively implement and manage them.
Recent months have also seen a surge in the importance of multimodal models, capable of processing not only text but also images, tables, and other data formats. This expanded capability allows for significantly improved data extraction compared to text-based approaches alone, unlocking new insights and streamlining processes. According to research from Spitch.ai, multimodal models are expanding applications across industries like healthcare, logistics, and customer service. Agentic AI is evolving rapidly, driving efficiency in workflows and problem-solving.
To address these evolving needs, the online conference “LLMs im Unternehmen” (LLMs in the Enterprise) will be held on March 19th, demonstrating how AI agents can grab over operate processes, how LLMs can help extract data, and how to efficiently operate models in your own data center. The conference, organized by iX, and dpunkt.verlag, aims to provide practical insights for businesses looking to leverage the power of LLMs.
Conference Focus: Models, Agentic AI, Self-Hosting, and Data Privacy
The conference program features presentations on a range of critical topics, including an introduction to large language models and current trends, building stable agents with LLMs, multimodal extraction pipelines for complex documents, secure deployment of Deep Agents, practical experience with productive self-hosting of AI clusters, and data privacy considerations when using LLMs. The Fraunhofer Institute highlights the importance of “tool learning” or “function calling” in enabling agents to understand inputs, create plans, and execute actions. Large Action Models (LAMs) are gaining traction as a way to extend the capabilities of LLMs.
A workshop on fine-tuning large language models will also be offered on October 30th.
Registration Details
Tickets for the one-day conference are available at a discounted early bird price of 279 Euros (plus 19% VAT) until February 25th. The additional online workshop, “Große Sprachmodelle feintunen” (Fine-tuning Large Language Models), on October 30th costs 579 Euros. Those interested in staying informed about Minds Mastering Machines and related events can sign up for the newsletter.
The rise of agentic AI, driven by the development of Large Language Models (LLMs), represents a significant shift in the field of artificial intelligence. These models are evolving into active, decision-making entities, capable of more than just generating human-like text.
As LLM technology matures, businesses are increasingly focused on practical implementation, including self-hosting for greater control and data privacy. The conference aims to provide attendees with the knowledge and tools needed to navigate these challenges and successfully integrate LLMs into their operations.
What comes next for LLMs in the enterprise will depend on continued innovation in model capabilities, the development of robust security frameworks, and the establishment of clear regulatory guidelines. The “LLMs im Unternehmen” conference offers a valuable opportunity to stay ahead of the curve and prepare for the future of AI-powered business.
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