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cover of episode Beyond the ChatBot Hype: Deep Dive into Real LLM Success Stories // Alex Strick van Linschoten // #287

Beyond the ChatBot Hype: Deep Dive into Real LLM Success Stories // Alex Strick van Linschoten // #287

2025/1/31
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Demetrios
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Demetrios:ZenML 建立了一个专门针对 LLM 的数据库,收集了 LLM 在生产中的应用案例,这个数据库涵盖了从小型团队到大型企业使用 LLM 的案例。LLM 的用例非常多样化,企业正在努力寻找其价值所在。 Alex Strick van Linschoten:受到 Evidently AI 的启发,我希望整理 LLM 的各种应用信息。我们试图了解 LLM 在生产中如何工作,以及不同规模公司如何使用 LLM。我一直在收集关于 LLM 的链接,最终决定将它们整理出来。LLM 帮助我更容易地总结了每篇文章的内容。收集这些信息花了很多时间,但整理起来相对较快。

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Alex Strick van Linschoten, an ML engineer at ZenML, describes his database of real-world LLM use cases, inspired by Evidently AI's database. He explains the process of gathering and organizing fragmented information from various sources, including blogs and podcasts.
  • The database is inspired by Evidently AI's database of ML/AI use cases.
  • It compiles information from various sources, including blogs and podcasts.
  • LLMs were used to assist in summarizing the collected information.
  • The database covers a wide range of use cases, from chatbots to more innovative applications.
  • Fundamental MLOps and software engineering practices are crucial for successful LLM deployment.

Shownotes Transcript

A software engineer based in Delft, Alex Strick van Linschoten) recently built Ekko, an open-source framework for adding real-time infrastructure and in-transit message processing to web applications. With years of experience in Ruby, JavaScript, Go, PostgreSQL, AWS, and Docker, I bring a versatile skill set to the table. I hold a PhD in History, have authored books on Afghanistan, and currently work as an ML Engineer at ZenML).

Beyond the ChatBot Hype: A Deep Dive into Real LLM Success Stories // MLOps Podcast #287 with Alex Strick van Linschoten, ML Engineer at ZenML.

// Abstract Alex Strick van Linschoten, a machine learning engineer at ZenML, joins the MLOps Community podcast to discuss his comprehensive database of real-world LLM use cases. Drawing inspiration from Evidently AI, Alex created the database to organize fragmented information on LLM usage, covering everything from common chatbot implementations to innovative applications across sectors. They discuss the technical challenges and successes in deploying LLMs, emphasizing the importance of foundational MLOps practices. The episode concludes with a call for community contributions to further enrich the database and collective knowledge of LLM applications.

// Bio Alex is a Software Engineer based in the Netherlands, working as a Machine Learning Engineer at ZenML. He previously was awarded a PhD in History (specialism: War Studies) from King's College London and has authored several critically acclaimed books based on his research work in Afghanistan.

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// Related Links Website: https://mlops.systems) https://www.zenml.io/llmops-database) https://www.zenml.io/llmops-database) https://www.zenml.io/blog/llmops-in-production-457-case-studies-of-what-actually-works) https://www.zenml.io/blog/llmops-lessons-learned-navigating-the-wild-west-of-production-llms) https://www.zenml.io/blog/demystifying-llmops-a-practical-database-of-real-world-generative-ai-implementations) https://huggingface.co/datasets/zenml/llmops-database)

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Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/) Connect with Alex on LinkedIn: https://www.linkedin.com/in/strickvl)