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4min chapter
Evaluating LLMs with Chatbot Arena and Joseph E. Gonzalez
Gradient Dissent: Conversations on AI
Navigating the Challenges of AI Hallucinations and Fine-Tuning Strategies
This chapter investigates the complexities of reducing hallucinations in language models using domain-specific data and fine-tuning methods. It explores the significance of context during model training and debates the dual nature of fine-tuning—offering enhanced accuracy while risking overfitting.
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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