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2min chapter
AI Evaluation and Testing: How to Know When Your Product Works (or Doesn’t)
The AI Native Dev - from Copilot today to AI Native Software Development tomorrow
Challenges and Considerations in Fine-Tuning AI Models
This chapter explores the intricacies of fine-tuning machine learning models, addressing issues like data management and debugging complications. The speaker raises concerns about the practicality of fine-tuning and advocates for in-context learning and modern models to enhance adaptability in AI.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode