GPT-2 and other tools now can generate texts. But so far, the results are not that... impressive. Let's talk about Neural Text Degeneration.

In today's business landscape, generating quality leads is crucial for success. And with technology advancing at a rapid pace, new tools and strategies have emerged to assist in this process. One such innovation is the [integration of Voice AI in cold calling](https://dasha.ai/en-us/blog/from-scripts-to-smart-conversations-the-rise-of-ai-in-cold-calling), which has revolutionized lead generation efforts. In this ultimate guide, we will delve into the fundamentals of lead generation, explore the impact of Voice AI on business operations, discuss how to incorporate Voice AI into cold calling, optimize lead generation techniques, and address challenges faced during implementation. So, let's embark on this journey to master the art of lead generation using Voice AI in cold calling!

Modern technologies like Voice AI have revolutionized the way we [interact with devices and access information](https://dasha.ai/en-us/blog/dasha-voice-ai-the-ultimate-tool-for-tracking-and-increasing-customer-loyalty-in-the-retail-industry). However, with this convenience comes great responsibility when it comes to [protecting customer data](https://dasha.ai/en-us/blog/how-dasha-voice-ai-can-help-you-detect-and-prevent-fraud-with-voice-biometrics). In this article, we will explore the [importance of data security](https://dasha.ai/en-us/blog/ai-and-ethics-perils-ahead) in Voice AI, examine the landscape of data privacy regulations, discuss the key challenges in securing customer data, explore strategies for enhancing data security, and look at future trends in data protection for Voice AI.