Ep. 316: Kyle Keane on AI, Forecasting and Turning Blind
Macro Hive Conversations With Bilal Hafeez
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Challenges in Text-to-Voice Technology
This chapter explores the intricacies of text-to-speech conversion, focusing on the technical hurdles in speech synthesis and audio quality. It discusses advancements in neural networks and their impact on generating human-like voices, while also addressing the philosophical questions surrounding intelligence in AI. Additionally, the chapter highlights the challenges of transparency in the training datasets of large language models and the implications for various applications, including medical diagnostics.
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