Workflow Orchestration Challenges
Adam shares the struggles of transitioning from a data scientist to a machine learning engineer and DevOps role in a startup environment. He emphasizes the need for intuitive workflow orchestration tools to bridge the gap between local development and scalable cloud operations. Additionally, he discusses the complexities of orchestrating large language models, highlighting the challenges faced with unstructured data and the brittleness of APIs at the time.In this clip
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Practical AI
Practical workflow orchestration
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