#ArtificialIntelligence #ChatBots #IndustrialDevelopment #Interactivebots #AI
- Interactive bots are the next step in the development of AI
- Bots are applicable in a wide range of human activities
- Developments and technologies being implemented now
“The next stage in the development of artificial intelligence will be interactive bots that can perform tasks on behalf of humans, using various software and cooperating with other people. Mustafa Suleiman, one of the co-founders of Google Deepmind, said this in an interview with MIT Technology Review.
According to him, future artificial intelligence innovations will be more dynamic and able to act autonomously. “We’ll just give them a common high-level goal, and they’ll use all the tools available to achieve it. Neural networks will interact with other humans and artificial intelligence,” explained the head of Deepmind.
Given enough leeway, the new technologies will provide a wider range of possibilities than existing generative algorithms, which Suleiman characterized as “static.”
Earlier, speaking to CNBC, the programmer predicted that in the next five years, everyone will be able to have personal assistants with artificial intelligence. His company Inflection AI launched the Pi chatbot in May as a competitor to OpenAI’s ChatGPT. The tool emphasizes providing personal advice and interaction.
“The first wave of artificial intelligence development was about categorization. Deep learning has shown that we are able to teach computers to distinguish between different types of inputs such as images, video, audio and language. We are now in a wave of generating new data and information from existing data. The third wave will involve more interaction,” Suleiman added.
Talking about the risks associated with the development of artificial intelligence, the Deepmind co-founder emphasized that “humans will always be at the top of control.” To ensure greater controllability, he believes that appropriate legislation needs to be developed. “In general, there are certain aspects that need to be considered very carefully, if not ruled out in the near future, such as recursive self-improvement. You wouldn’t want your little artificial intelligence to shut down and self-update its program code without your input,” he informed.
Suleiman concluded that the world has already successfully regulated “ultra-complex” areas such as aviation and will therefore be able to handle the challenges of artificial intelligence as well.
Bots are applicable in a wide range of human activities
Many companies use chatbots to handle customer queries and provide quick answers to frequently asked questions. This includes e-commerce, banking, tech support and many other areas.
Interactive bots can help patients to get preliminary medical advice and even help in self-diagnosis of some diseases by asking questions about symptoms, as well as provide recommendations if it is necessary to consult a doctor.
In education, interactive bots can serve as learning assistants, providing information about a subject, self-testing assignments, and can even conduct tutorials in a chat format.
Bots can help bank customers perform banking transactions, check balances, transfer funds, and provide investment advice if needed.
Interactive bots can help travelers find and book hotels, airline tickets and other travel-related services. Restaurant business administration can be facilitated by AI: taking orders, organizing delivery.
Creating interactive games, recommending movies and music, and managing smart homes, alert and security systems can also be facilitated by AI.
Developments and technologies being implemented now
Current developments in interactive bots are exploring and implementing cutting-edge technologies to make bots smarter, more adaptive, and more useful to users.
Artificial intelligence and machine learning. Modern interactive bots often utilize artificial intelligence (AI) and machine learning (ML) technologies to better understand user queries and provide more accurate and relevant answers. This includes Natural Language Processing (NLP), deep learning, and neural networks.
Support for multimodality. Modern bots can handle different types of data such as text, images, and audio. This allows them to provide richer and more interactive interactions with users.
Personalization and contextual understanding. With the help of IO and AI algorithms, bots can take into account the context of previous conversations and provide personalized recommendations and responses. They are already able to memorize user preferences or the context of the current conversations.
Integration with third-party services. Bots can integrate with a variety of third-party services and APIs, allowing them to perform a wide range of tasks. For example, a bot can make reservations, order food, send social media messages, and more.
Reinforcement learning. Some modern bots use reinforcement learning techniques to improve their performance. They can learn from user experiences and reactions to gradually improve their skills.
Voice interaction research. Smart speakers and assistants are becoming increasingly popular, and developments in this area are growing accordingly. Modern bots can support voice commands and answer users’ questions with voice responses.
Work on different platforms. Bots cover more and more platforms, different messengers, social networks and websites.
Final Thoughts
This direction promises greater dynamism and autonomy in the actions of bots. Modern developments include the use of artificial intelligence and machine learning, multimodal support, personalization and integration with other services. Bots are already being used extensively in various fields, including customer support, medicine, education, finance, travel and entertainment, easing routine tasks and improving user experience.
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