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3min chapter
Towards high-quality (maybe synthetic) datasets
Practical AI: Machine Learning, Data Science, LLM
Maximizing Efficiency with Smaller Models and Data Annotation Strategies
This chapter discusses the advantages of employing smaller models for hosting and fine-tuning, highlighting their cost-efficiency and privacy benefits. The speakers provide insights into fine-tuning on consumer-grade hardware, data annotation, and effective workflow setup using Arjila.
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AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode