Navigating LLM Challenges
The discussion highlights the complexities of building products with large language models, emphasizing the distinctions between ML engineers and MLOps roles. Insights into the importance of a robust platform for transitioning ideas into production are shared, along with a look at tools like Llamaindex and Olama that can enhance the LLM development process.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
787: MLOps: The Job and The Key Tools — with Demetrios Brinkmann
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