Sesame AI Labs' latest innovation, the Conversational Speech Model (CSM), marks a significant advancement in AI-generated speech technology, producing natural-sounding speech that is indistinguishable from human voices. This model incorporates elements like hesitations, natural rhythms, and intonation changes, achieved by combining a large language model architecture with specialized audio tokenization. It takes into account not only the text but also the conversational context to maintain a coherent speaking style. The article provides a detailed guide on deploying CSM on a serverless cloud platform like Cerebrium, enabling users to create a hyper-realistic voice API. This involves setting up environment variables, configuring deployment settings, and creating a script to test the model's performance, which is capable of generating speech with human-like characteristics, including filler words. The guide emphasizes the potential applications of this technology in various fields, such as accessibility tools and voice assistants, while highlighting the importance of responsible use and transparency in AI-generated speech.