The technology of virtual voice assistants has been developing for more than 10 years. Thanks to a set of development tools that can be found in open code libraries, the barrier to entry into this segment of the IT market for startups and companies is quite low. However, the development of artificial intelligence, in particular the emergence of ChatGPT models, may give an additional impetus to the development of voice assistants.
A New Era
A tornado of news is raging around the resignation of the CEO of the company. The developer of ChatGPT, OpenAI, Sam Altman. But artificial intelligence (AI) continues to develop as usual. In the gambling world, the changes are, for example, tremendous.
ChatGPT can provide information and assistance related to 22Bet casino, offering insights on games, rules, and promotions to enhance players’ understanding and enjoyment of the platform.
The emergence of GPT assistants based on LLM models gave a powerful impetus to the development of already familiar voice assistants. It provides more intelligent and natural interaction. If earlier assistants could conduct a dialogue according to certain scenarios prescribed by the developer, now bots based on GPT and its variations can support the dialogue on any topic.
Intensive Training
Thanks to the introduction of generative neural networks with billions of parameters, voice assistants become more personalized. They remember the context of the conversation and instantly adapt to the user. Just a couple of years ago, this skill was inaccessible to even the most advanced voice assistants. They could only provide information upon request or respond with pre-recorded remarks. They pronounced them with very unnatural intonations.
The template responses repelled users. According to statistics from the Just AI developer company, four out of five clients of companies that implemented such technology stopped communicating with the bot if its answers did not meet their personal needs. However, now voice assistants have a chance to get closer to people.
All families of voice assistants are developing according to a similar principle. Siri and others are based on algorithms that are annually trained on colossal amounts of data. The aim is to better understand queries and respond to them with more relevant meaning and more natural and emotionally varied responses.
Sounds Like Real
Voice assistants are becoming more and more like a real person. Often, companies take ready-made models. They include visual ones. The goal is to further train them and use them in their own voice assistants. Therefore, we can say that the barrier to entry into such development is not as high as it seems.
Voice assistants worked on the basis of simpler algorithms and natural language processing technologies. NLP, Natural Language Processing. That was before the advent of GPT models.
The Origins
In 2017, a group of scientists from Google Brain published a scientific work entitled Attention is all you need. They presented a model of a new architecture transformer. It became the basis of ChatGPT.
At the end of 2022, a scientific breakthrough occurred with the release of ChatGPT 3.5–4. This model made it possible to build quite large, lengthy dialogues. It simply changed the landscape in various fields, including the world of online casinos. AI is providing personalized gaming experiences, predictive analytics for player preferences, and even voice-activated commands to navigate to this web-site effortlessly, ensuring a seamless and enjoyable gambling experience.
It carries on a conversation quite well, can compose poetry, write code and much more. Just five years ago it was quite difficult to imagine this. Problems were solved at the level of emotional analysis. The issue solving was put on the buyers who left a positive or negative review on the marketplace. Now such problems are solved without any training of algorithms. AI does these tasks very well.
Advancements
Technological progress occurs constantly. One of the side effects is that access to AI technologies is simplified. The amount of effort required and the funds necessary to achieve a high-quality result are reduced. For example, just three years ago, chatbots could not maintain a full-fledged dialogue while preserving its essence and history of interaction. The variety of speech was achieved by writing tens of thousands of replicas, branches and dialogue scripts. Now, after a little additional training of large language models, bots can conduct a meaningful conversation and most interlocutors will not distinguish a bot from a real person during communication. To recreate a person’s speech, today a five-minute voice recording is enough, and from a 10-minute video recording you can make a 3D model that imitates a full-fledged personality.
The combination of ChatGPT and voice assistants is very promising and allows you to create a sense of meaningfulness in the dialogue between a person and a voice assistant. In addition, how realistic the bot sounds also affects the level of trust.