Kitabı oku: «Incredible artificial intelligence Easy Diffusion 3.0. The Middle and High School Guide», sayfa 5
Term 10. Trusted Artificial Intelligence
Trusted Artificial Intelligence is an applied Artificial Intelligence system that ensures the execution of the tasks assigned to it, taking into account a number of additional requirements that ensure trust in the results of the system’s operation, including30:
– reliability and interpretability of conclusions and proposed solutions obtained using the system and verified using verified test examples;
– security both from the point of view of the impossibility of causing harm to system users throughout the entire life cycle of the system, and from the point of view of protection from hacking, unauthorized access and other negative external influences;
– privacy and verifiability of data with which Artificial Intelligence algorithms work, including access control and other related issues;
– introduction of ethical aspects of the use of Artificial Intelligence.
Trusted AI is based on the idea that trust in its work creates the foundation of society, the economy and sustainable development. People, organizations and societies can only realize the full potential of Artificial Intelligence systems if trust can be established in their development, implementation, support and use31,32.
Working with Easy Diffusion
To strengthen our work skills, let’s do a simple exercise and try to create the image of a trusted Artificial Intelligence.
To do this, perform the following steps:
– Create your own queries based on the definition above. For example, we wrote this: «Trusted Artificial Intelligence System, Responsible Artificial Intelligence, Responsible AI, trusted Artificial Intelligence, trusted Artificial Intelligence system, ethical aspects, full length portrait, highly detailed, cinematic lighting, robot face».
– We chose Realistic Vision as our model.
– Set the «Image Quality» parameter to 75.
Click the «Make image» button.
We got the following results:
Text-to-image AI software: Easy Diffusion
Prompt: Trusted Artificial Intelligence System, Responsible Artificial Intelligence, Responsible AI, trusted Artificial Intelligence, trusted Artificial Intelligence system, ethical aspects, full length portrait, highly detailed, cinematic lighting, robot face
Model: Realistic Vision
Inference Steps: 25
Image Author: Vsevolod Chesalov
Term 11. Ethical Artificial Intelligence
Ethical Artificial Intelligence is a system of trusted Artificial Intelligence that adheres in its work to strictly defined ethical principles in relation to fundamental human values, including: respect, protection and promotion of human rights; well-being of the environment and ecosystems; ensuring diversity and inclusion (the process of including people with physical and mental disabilities into full-fledged public life); living in peaceful, just and interconnected societies33.
Working with Easy Diffusion
To strengthen our work skills, let’s do a simple exercise and try to create an image of ethical Artificial Intelligence.
To do this, perform the following steps:
– Create your own queries based on the definition above. For example, we wrote this: «Ethical Artificial Intelligence, robot, white background, soft light, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail, cyborg.»
– We chose DreamShaper as a model.
– Set the «Image Quality» parameter to 75.
Click the «Make image» / button.
We got the following result:
Text-to-image AI software: Easy Diffusion
Prompt: Ethical Artificial Intelligence, robot, white background, soft light, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail, cyborg
Model: DreamShaper
Inference Steps: 25
Image Author: Diana Chesalova
Term 12. Consumer Artificial Intelligence
Consumer Artificial Intelligence is specialized Artificial Intelligence programs and services that are widely used in the infrastructure of the Internet of Things and the Industrial Internet of Things. For example, implementing health monitoring using wearable devices such as smart watches, fitness crackers or bracelets. Another example is smart home devices such as smart homes, robotic vacuum cleaners, smart speakers, or smart coffee makers. All «smart» devices are connected to the Internet, through which they interact with each other and with other «smart» devices. In turn, a person can communicate with these devices using programs or intelligent voice assistants.
Working with Easy Diffusion
To consolidate our work skills, let’s do a simple exercise and try to create an image of highly specialized or weak Artificial Intelligence.
To do this, perform the following steps:
– Create your own queries based on the definition above. For example, we wrote the following:
– «Consumer Artificial Intelligence, highly detailed, cyberpunk, cyborg.».
– «Consumer Artificial Intelligence, robot that vacuums the white floor, white background, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail.»
– We chose DreamShaper as a model.
– Set the «Image Quality» parameter to 75.
Click the «Make image» button.
We got the following results:
Text-to-image AI software: Easy Diffusion
Prompt: Consumer Artificial Intelligence, highly detailed, cyberpunk, cyborg
Model: DreamShaper
Inference Steps: 25
Image Author: Vsevolod Chesalov
Text-to-image AI software: Easy Diffusion
Prompt: Consumer Artificial Intelligence, robot that vacuums the white floor, white background, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail
Model: DreamShaper
Image Author: Diana Chesalova
Term 13. Generative Artificial Intelligence
Generative Artificial Intelligence is the most promising method of deep machine learning, in which a neural network studies an array of big data, for example, photographs, videos or text on a certain topic, and then uses the information received to create its own unique content.
Today, according to experts, the capabilities of generative Artificial Intelligence systems have virtually no limits. They are able to quickly create new unique content, ideas, conversations, stories, scripts, works of art in the style of famous writers, works of fine art in the style of famous artists, videos and music in the style of famous composers from different eras34.
Generative Artificial Intelligence is based on basic machine learning models pre-trained on big data. A prime example of a basic model is the GPT model. It is a large language model (or, as they say, a family of neural network models) specifically designed to solve language problems such as summarization, real-time text generation, classification, open-ended questions and answers, and information extraction. The advent of GPT models marked a turning point in the widespread adoption of machine learning, as the technology can now be used to automate and improve a wide range of tasks, from translating texts into various languages, to writing blog posts, creating websites, visual effects, animation, etc. writing software code, analyzing data and creating intelligent voice assistants. The value of these models lies in the speed of their work and the directions in which they can work35,36.
Generative Artificial Intelligence systems include the ChatGPT system (which is created on the GPT model), as well as the Easy Diffusion system (as we remember, this is a variant of the Stable Diffusion build), which we study in this book.
Perhaps in the near future, much of what you create or use in your studies and work will be created using various generative Artificial Intelligence systems.
Working with Easy Diffusion
To consolidate our work skills, let’s do a simple exercise and try to create an image of generative Artificial Intelligence.
To do this, perform the following steps:
– Create your own queries based on the definition above. For example, we wrote the following:
– «Generative Artificial Intelligence, a robot that is entangled in wires and microcircuits, steampunk, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail.»
– «Generative Artificial Intelligence, highly detailed, cyberpunk, robot, cyborg, cinematic shot, cinematic lighting, photo realistic, perfect composition.»
– We chose DreamShaper as a model.
– Set the «Image Quality» parameter to 75.
Click the «Make image» button.
We got the following results:
Text-to-image AI software: Easy Diffusion
Prompt: Generative Artificial Intelligence, a robot that is entangled in wires and microcircuits, steampunk, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail
Model: DreamShaper
Image Author: Diana Chesalova
Text-to-image AI software: Easy Diffusion
Prompt: Generative Artificial Intelligence, highly detailed, cyberpunk, robot, cyborg, cinematic shot, cinematic lighting, photo realistic, perfect composition
Model: DreamShaper
Inference Steps: 25
Image Author: Vsevolod Chesalov
Term 14. Gaming Artificial Intelligence
Gaming Artificial Intelligence is one of the most common forms of Artificial Intelligence, developed and used for computer or console games. Most often, game Artificial Intelligence replaces the intelligence of various game characters, including various equipment (such as cars, planes, ships, spaceships, etc.) controlled by people, or controls entire locations and worlds that change depending on the player’s actions.
Working with Easy Diffusion
To consolidate our work skills, let’s do a simple exercise and try to create an image of gaming Artificial Intelligence.
To do this, perform the following steps:
– Create your own queries based on the definition above. For example, we wrote the following:
– «Game Artificial Intelligence, a robot that is stuck in a computer game, steampunk, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail.»
– «Game Artificial Intelligence, head, look at camera, highly detailed, cyberpunk, robot, cyborg, cinematic shot, cinematic lighting, photo realistic, perfect composition, robot is staying in the city of the future, playing computer game.»
– We chose DreamShaper as a model.
– Set the «Image Quality» parameter to 75.
Click the «Make image» button.
We got the following results:
Text-to-image AI software: Easy Diffusion
Prompt: Game Artificial Intelligence, a robot that is stuck in a computer game, steampunk, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail
Model: DreamShaper
Inference Steps: 25
Image Author: Diana Chesalova
Text-to-image AI software: Easy Diffusion
Prompt: Game Artificial Intelligence, head, look at camera, highly detailed, cyberpunk, robot, cyborg, cinematic shot, cinematic lighting, photo realistic, perfect composition, robot is staying in the city of the future, playing computer games
Model: DreamShaper
Inference Steps: 25
Image Author: Vsevolod Chesalov
Term 15. Artificial Intelligence for IT Operations
Artificial Intelligence for IT Operations (AIOps) is the use of machine learning and other Artificial Intelligence technologies to automate various operational and technological IT processes that are performed manually by software engineers. AIOps is similar to MLOps in that it uses machine learning and other Artificial Intelligence technologies to automate IT processes. AIOps differs from MLOps in that process automation occurs within the organization’s IT operations department rather than within the machine learning and Artificial Intelligence group. AIOps also differs from MLOps in that it uses Artificial Intelligence to automate a group of processes, rather than just one or two tasks, as MLOps does.
Artificial Intelligence for IT Operations is an emerging IT practice that applies Artificial Intelligence to IT operations to help organizations intelligently manage IT infrastructure, networks, and applications to ensure high quality, performance, resiliency, and security. Term AIOps emerged in 2016 as an industry category that helps improve IT operations automation processes using Artificial Intelligence technologies37,38,39.
Working with Easy Diffusion
To reinforce our Easy Diffusion skills, let’s do a simple exercise and try to create an Artificial Intelligence image for AIOps.
To do this, perform the following steps:
– Create your own queries based on the definition above. For example, we wrote the following queries:
– «Artificial Intelligence for IT Operations, AIOps, dog training robot, cyborg dog, steampunk, soft light, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail.»
– « Artificial Intelligence for IT Operations, highly detailed, sitting on the sofa, cyborg cat, cyberpunk, perfect composition. cinematic light, photo realistic, robot cat.»
– We chose «Realistic Vision» and «DreamShaper» as models.
– Set the «Image Quality» parameter to 75.
Click the «Make image» button.
We got the following results:
Text-to-image AI software: Easy Diffusion
Prompt: Artificial Intelligence for IT Operations, AIOps, dog training robot, cyborg dog, steampunk, soft light, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail
Model: Realistic Vision V4.0
Inference Steps: 25
Image Author: Diana Chesalova
Text-to-image AI software: Easy Diffusion
Описание (Prompt): Artificial Intelligence for IT Operations, highly detailed, sitting on the sofa, cyborg cat, cyberpunk, perfect composition. cinematic light, photo realistic, robot cat
Model: DreamShaper
Inference Steps: 25
Image Author: Vsevolod Chesalov
Term 16. Composite Artificial Intelligence
Composite Artificial Intelligence is the combined use of various Artificial Intelligence methods (deep machine learning, computer vision, natural language processing, context analysis, knowledge graphs, data visualization, forecasting methods, etc.) to improve the efficiency of model training in order to achieve a synergistic effect from their use and the best results from Artificial Intelligence systems.
One of the ideas behind the creation of composite Artificial Intelligence is to obtain common-sense Artificial Intelligence that will be able to understand the essence of problems and solve a wide range of problems, offering optimal solutions40.
Working with Easy Diffusion
To strengthen our skills in working with Easy Diffusion, let’s do a simple exercise and try to create an image of composite Artificial Intelligence.
To do this, perform the following steps:
– Create your own queries based on the definition above. For example, we wrote the following queries:
– «Cyborg and hamburger, unreal future world font, full length portrait, highly detailed good face, cinematic lighting.»
– «Composite Artificial Intelligence, highly detailed, sitting in the forest, cyborg hamster, cyberpunk, perfect composition, cinematic light, photo realistic, robot hamster, cyberpunk.»
– We chose «Realistic Vision» and «DreamShaper» as models.
– Set the «Image Quality» parameter to 75.
Click the «Make image» button.
We got the following results:
Text-to-image AI software: Easy Diffusion
Prompt: Cyborg and hamburger, unreal future world font, full length portrait, highly detailed good face, cinematic lighting
Model: Realistic Vision
Image Author: Alexander Chesalov
Text-to-image AI software: Easy Diffusion
Описание (Prompt): Composite Artificial Intelligence, highly detailed, siting in the forest, cyborg hamster, cyberpunk, perfect composition, cinematic light, photo realistic, robot hamster, cyberpunk
Model: DreamShaper
Inference Steps: 25
Image Author: Vsevolod Chesalov
Term 17. Cause-and-effect Artificial Intelligence
Cause-and-effect Artificial Intelligence is an Artificial Intelligence system that can identify and explain cause-and-effect relationships to go beyond standard predictive models, thereby enabling the transition to Artificial Intelligence systems that can make predictions more efficiently while acting more autonomously.
Cause-and-effect Artificial Intelligence plays a very important role for analysts and software engineers in the process of understanding the reasons that lead to certain results of an Artificial Intelligence system. It may be a part or subsystem of explainable Artificial Intelligence.
Working with Easy Diffusion
To strengthen our skills in working with Easy Diffusion, let’s do a simple exercise and create an image of cause-and-effect artificial intelligence.
To do this, perform the following steps:
– Create your own queries based on the definition above. For example, we wrote the following queries:
– «Causal Artificial Intelligence, highly detailed, sitting in the forest, cyborg monkey, cyberpunk, perfect composition. cinematic light, photo realistic, robot monkey, cyberpunk.»
– «Robot frog swimming in the swamp, soft light, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail, cyborg.»
– We chose «Realistic Vision» and «DreamShaper» as models.
– Set the «Image Quality» parameter to 75.
Click the «Make image» button.
We got the following results:
Text-to-image AI software: Easy Diffusion
Описание (Prompt): Causal Artificial Intelligence, highly detailed, siting in the forest, cyborg monkey, cyberpunk, perfect composition. cinematic light, photo realistic, robot monkey, cyberpunk
Model: DreamShaper
Inference Steps: 25
Image Author: Vsevolod Chesalov
Text-to-image AI software: Easy Diffusion
Prompt: Robot frog swimming in the swamp, soft light, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail, cyborg
Model: DreamShaper
Inference Steps: 25
Image Author: Diana Chesalova
Term 18. Distributed artificial intelligence
Distributed Artificial Intelligence (DAI) is one of the scientific fields of research, design and creation of complex distributed artificial intelligence systems.
The creation of distributed artificial intelligence is based on two main ideas:
• The first is to use the concept of collective intelligence or, as it is also called, swarm intelligence. An example of an organized collective mind would be bees or ants, each of which functions autonomously, has its own mind and makes independent decisions, while all together they function as a single living organism (hive or colony) with its own collective consciousness.
• The second is that distributed systems have greater performance (computing power), availability and scalability, and therefore are more efficient and reliable, compared to centralized systems located in a specific location and with fixed computing power.
Distributed artificial intelligence consists of a large number of geographically distributed autonomous information processing nodes or learning nodes, which are called agents. Unlike the swarm intelligence of bees or ants, which perform similar tasks independently, agents can collaborate to perform many different specialized tasks. A system in which many independent agents interact to solve a complex problem is called multi-agent. In a multi-agent system, the group intelligence exceeds the intelligence of each individual agent. Thus, this approach to the design and construction of multi-agent systems can be used in the development of composite distributed artificial intelligence41,42,43.
Working with Easy Diffusion
To strengthen our skills in working with Easy Diffusion, let’s do a simple exercise and create an image of distributed artificial intelligence.
To do this, perform the following steps:
– Create your own queries based on the definition above. For example, we wrote the following queries:
– «Robot owl sitting on the branch, forest, cyborg, soft light, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail.»
– «Distributed Artificial Intelligence, highly detailed, in the sea, cyborg shark, cyberpunk, perfect composition. cinematic light, photo realistic, robot shark, cyberpunk.»
– We chose «Realistic Vision» and «DreamShaper» as models.
– Set the «Image Quality» parameter to 75.
Click the «Make image» button.
We got the following results:
Text-to-image AI software: Easy Diffusion
Prompt: Robot owl sitting on the branch, forest, cyborg, soft light, photorealistic, perfect composition, cinematic shot, intricate details, hyper detail
Model: DreamShaper
Inference Steps: 25
Image Author: Diana Chesalova
Text-to-image AI software: Easy Diffusion
Описание (Prompt): Distributed Artificial Intelligence, highly detailed, in the sea, cyborg shark, cyberpunk, perfect composition, cinematic light, photo realistic, robot shark, cyberpunk
Model: DreamShaper
Inference Steps: 25
Image Author: Vsevolod Chesalov
Please note that not only bees and ants have swarm intelligence, flocks of birds and schools of fish also possess it. In fact, many living organisms on our planet have collective intelligence.
Which of them were you able to portray?
