The diversification of the use of artificial intelligence (AI) can become a barrier to truly understanding how all its different types work. Staying alert in this tangle of possibilities can mean realizing the valuable opportunities that AI offers to improve our daily lives.

Artificial intelligence has proven itself as an indispensable tool in the technology world that can strengthen projects and businesses, for example in the corporate field. Given this, it is crucial to understand how this happens and what opportunities the different existing AI models produce.

Want to discover what artificial intelligence is and what its main types are? Take a look now at what we’ve prepared to help you stay ahead in this technological revolution.

4 Types of Artificial Intelligence according to their capacities

Artificial intelligence (AI) is a field of computer science dedicated to creating systems that can perform tasks that normally require human intelligence.

Within this broad field, “Artificial Intelligence capability”, The ability of a system to perform these tasks independentlylearning from past experiences and adapting to new challenges.

Its classification includes different levels and forms the basis for exploring the true potential of artificial intelligence in various applications. Learn more below!

1. Reactive machines

Reactive machines are the basic level of artificial intelligence and are programmed. performing certain tasks without continuous learning. They perform actions according to predefined commands and do not adapt to new situations.

IBM Deep Blue, an artificial intelligence system designed to play chess, is an example of a reactive machine. It analyzes the positions of the board and selects moves based on pre-programmed algorithms and heuristics, without learning or adapting over time.

2. Limited memory

Taking a step forward, we have limited memory AI that works with predefined information. This category is usually applied in recommendation systemsIn which AI uses previous data to make recommendations.

Other examples are simple chatbots that respond to basic queries on websites. They can only retain information during the current interaction and cannot recall past conversations.

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3. Theory of mind

Theory of mind represents a leap towards deeper understanding. At this level, AI is designed not only to understand commands and information, but also to interpret mental states such as beliefs and intentions. Create a more personalized conversation experience.

4. Self-aware

When the peak of AI ability reaches a state close to self-awareness, it will be able to detect not only users’ intentions but also Developing a primitive form of self-consciousness. This kind of development, at least so far, only belongs to the science fiction universe.

Technical and functional classifications of artificial intelligence

Technical and functional classifications of artificial intelligence (AI) arise from a deeper analysis of the capabilities and characteristics of AI machines and systems. They be:

  • Narrow Artificial Intelligence (ANI): ANI refers to artificial intelligence systems that are highly specialized in specific tasks, such as Siri and Alexa. They are experts in their assigned roles but lack the versatility and adaptability of a more general intelligence.

  • Artificial general intelligence (AGI): AGI is a step forward that represents artificial intelligence, which is still under development. Thousands of people are capable of learning and performing their tasks. Despite its versatility, it still has not reached the level of human understanding in every aspect.

  • Artificial super intelligence (ASI): artificial super intelligence It is a theoretical idea rather than a concrete reality. It will be a system that exceeds human cognitive abilities in every field and performs complex tasks more efficiently and effectively than humans.

So where does conversational artificial intelligence fit in?

An AI that not only answers questions but also understands context and evolves based on conversations. This is the domain of Conversational AI. This type of AI uses advanced natural language processing (NLP) algorithms. Interpret not just words but also context and intentions behind them.

Therefore, its performance may fall into the category of “Machines with Limited Memory” or address elements of “Theory of Mind”. In technical classification, this type of AI can be considered a special form of Artificial Narrow Intelligence (ANI) that focuses on interaction and language understanding.

A. Conversational AI is different from popular chatbots, is effective in different situations but is limited to predefined responses in codes and patterns. The AI’s performance includes real-time evolution based on previous conversations.

What does this mean in practice? Conversational AI is revolutionizing customer service Fluent, highly personalized experience close to human communication.

Connecting brands and people: the future of artificial intelligence

By understanding different types of AI, especially conversational AI, companies can improve their interactions with their customers. The efficient integration of these technologies opens the doors to tremendous opportunities.

By connecting brands with people in smarter ways, Companies improve their internal processes and deliver richer, more personalized experiences. To achieve these goals, it is important to turn to people who understand the subject. blipconversational artificial intelligence expert.

With innovative solutions in its field, blip It streamlines and unifies the customer journey using AI. It is possible to have scalable service on its platform, automate processes and deliveries, predict audience behavior and create personalized content. Everything to get customers to engage with the brand and build a loyal relationship with it.

in that blip websiteIt is possible to understand how to benefit from all the possibilities. Advantages of a platform that centralizes service channelsSolutions for sale on WhatsApp and many other APIs.

Source: Tec Mundo

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I am a passionate and hardworking journalist with an eye for detail. I specialize in the field of news reporting, and have been writing for Gadget Onus, a renowned online news site, since 2019. As the author of their Hot News section, I’m proud to be at the forefront of today’s headlines and current affairs.

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