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26min chapter
Self-hosting & scaling models
Practical AI: Machine Learning, Data Science, LLM
Challenges of Transitioning to Running Own Models
The speakers discuss the challenges of transitioning from using closed APIs to running their own models, including infrastructure, workflow, and product concerns. They also touch on the complexities of optimizing latency, throughput, cost, privacy, security, and orchestrating models across different hardware and clouds.
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AI-powered
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode