In his talk, Markus discussed the capabilities of Large Language Models in natural language understanding and generation. He highlighted the challenges of applying LLMs directly to proprietary code generation, where precision and domain-specific knowledge are essential. Markus emphasized the importance of fine-tuning pre-trained LLMs to accurately translate natural language into executable queries for specialized systems. He also stressed the crucial role of high-quality, domain-specific data in ensuring successful fine-tuning and reliable results.

This speech by Markus Spanring was held on October 15th at DSC DACH 25 in Vienna.

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