Super Data Science: ML & AI Podcast with Jon Krohn
787: MLOps: The Job and The Key Tools, with Demetrios Brinkmann
May 28, 2024
Demetrios Brinkmann, an MLOps expert, shares insights on MLOps, LLMOps, and DevOps. He discusses developing an online MLOps community, using third-party APIs, and building online communities. The episode also covers tools like LlamaIndex and Ollama for scaling LLMs, as well as guidance on data pipeline engineering using Kubernetes and YAML files.
56:18
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Quick takeaways
- MLOps streamlines machine learning model deployment, while data engineering fundamentals are vital for success in MLOps.
- Building a successful online community in tech and AI requires maximizing member engagement and minimizing creator focus.
Deep dives
MLOps Explained
MLOps, a subset of DevOps, ensures machine learning models can be put into production efficiently and repeatedly. Tools like llama index, oLama, lang chain, and dspi streamline LLM operations.
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