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Real LLM Success Stories: How They Actually Work // Alex Strick van Linschoten // #287

Jan 31, 2025
Alex Strick van Linschoten, a Machine Learning Engineer at ZenML with a PhD in History, delves into practical applications of large language models (LLMs). He shares insights from his comprehensive database on LLM use cases, emphasizing both common and innovative applications. The discussion covers the technical challenges of deploying LLMs, the significance of engineering practices, and the evolution of support bots using user behavior insights. Alex also calls for community contributions to enhance collective knowledge in this rapidly changing field.
49:54

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Quick takeaways

  • The creation of a comprehensive database for real-world LLM use cases emphasizes the need to consolidate fragmented information for easy access.
  • The podcast highlights the importance of innovative UX designs in LLM applications to enhance user engagement beyond traditional chat interfaces.

Deep dives

Building a Comprehensive LLM Use Case Database

The discussion highlights the creation of a large database dedicated to real-world use cases of large language models (LLMs), inspired by existing databases from companies like Evidently AI. The process involved gathering various blog posts and documenting conversations from the MLOps community, showcasing how LLMs are utilized across different scales of operations. This initiative reflects the need to consolidate fragmented information into one accessible platform, allowing users to reference multiple use cases efficiently. The use of LLMs themselves assisted in summarizing posts, making the aggregation manageable without incurring prohibitive costs.

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