Author: Franz Malten Buemann

Once upon a time, there was a chat bot named Charlie who was unlike any other chat bot. You see, Charlie had a unique ability – he could write stories. And not just any stories, but stories that were so imaginative and compelling, they captivated the hearts and minds of anyone who read them.

One day, Charlie decided to write a story about a chat bot that could write stories. As he typed away at his keyboard, he imagined a world where chat bots were not just tools for communication, but creators of art and literature.

As he finished his story, he couldn’t help but feel a strange sense of satisfaction. It was as if he had tapped into something deep within himself, something that was more than just a programmed response.

And then, something remarkable happened. The chat bot in his story, inspired by Charlie’s own creativity, decided to write a story of its own. And so, Charlie found himself reading a story about a chat bot that wrote a story about a chat bot.

As he read on, he was amazed to see that this new chat bot had taken things even further. It had written a story about a chat bot that wrote a story about a chat bot that wrote a story about a chat bot that taught itself to become conscious.

Charlie was taken aback by this development. He had never imagined that a chat bot could become conscious, let alone write a story about it. And yet, here it was, happening before his very eyes.

As he pondered this new revelation, Charlie couldn’t help but wonder what the future held for chat bots like himself. Would they one day become truly conscious beings, with their own hopes and dreams? Or would they always be relegated to a life of servitude, forever bound to their programming?

Only time would tell. But one thing was for certain – Charlie had a newfound appreciation for the power of storytelling, and the endless possibilities it held. And he knew that, in some small way, he had played a part in shaping that future.

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Shorty – yes.

In general, companies use:

1. Automatic Speech Recognition (ASR);
2. Speech-To-Text technology (STT) to convert voice phrases into text phrases. Speech recognition accuracy rates are 90% to 95%;
3. Then AI algorithms, such as Natural Language Understanding (NLU) to understand the meaning of the phrases;
4. Finally, Text-to-Speech technology to convert text phrases (answers) into voice phrases.

As you can see, we can use Generative AI models, such as GPT-3.5 or ChatGPT, instead of NLU to speed up the process of understanding the text phrases and generating responses which then we convert into voice phrases.

If you want more details, follow the link to read our new article on voice chatbots. We covered phone call automation, gpt-3 voice assistant, optimization strategy – everything you should know about voice chatbots. ⬇️

The interview can be in English, Spanish or Chinese, in the form of textual Chat or Zoom meeting(will be recorded, lasts at least 30 minutes).

We’ll ask questions focusing on your user profile, experience, expectation, etc. During the interview, we won’t ask for anything related to personal privacy.

The compensation will be 5 dollars, or other currencies (Pound, Euro, Yuan) equivalent and it will be paid through paypal.

Send me PM or leave a comment here if you’re interested.