Insights from TNG's Big Techday 24: Talk on LLM Tuning

At our recent Big Techday, our colleagues Jonas Mayer and Christoph Bergemann from the TNG Innovation Hacking Team talked about the art and science of getting the most out of Large Language Models (LLMs). They shared their expertise on optimizing general purpose LLMs for specific business applications in their talk "Pimp my Llama: LLM-Tuning for Your Business Case".  

Key Takeaways:
✨ There are multiple methods of optimizing your LLM's output, such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning.
✨ Tailoring general purpose LLMs to specific business needs enhances the relevance and effectiveness of the LLM's output.
✨ Customizing prompts is critical for aligning model outputs with business objectives.
✨ Understanding context is vital to ensure the reliability of AI outputs.

Do you want to learn more about LLM tuning? Watch the full talk (in German) by Jonas and Christoph here.

Feel free to reach out to us if you are interested in talks and workshops with our experts on this topic. We are always available to discuss how LLMs can benefit your organization.