Each development in the field of artificial intelligence produces a complex set of specialized terms. We give you a guide to distinguish between the Aratifical Intelligence (AGI) (AGI) and the Saved Generation Transformers (GPT), which are some kind of major linguistic models. The appearance of the chatgpt chatgt chat in late 2022, with its significant advanced answers (though sometimes wrong) on a wide range of questions, a milestone in the development of artificial intelligence that took decades from work to its release. Scientists have begun to perform experiments to ‘see the computer’ and give the machines the ability to read ‘since the 1960s’, and chat robots began to appear when the Beatles band still plays music. Technology businesses are currently rushing to develop more advanced artificial intelligence products that can talk to users, solve complicated sports issues and produce short films and one day surpass people in a variety of tasks. Whether you are concerned that the machines will take your work from you, or are just excited to explore the abilities, here are the conditions you need to sail in a world led by artificial intelligence. (A) General Artificial Intelligence (AGI): Many companies that work in the field of artificial intelligence find themselves obsessed with the idea of ’General AI’ (AGI). Nevertheless, there is no clear agreement on its definition. The term usually refers to virtual artificial intelligence systems that can complete a wide range of complex tasks with a small amount of human intervention. The developed Oben AI business, “Chat BT”, goes beyond that and describes public artificial intelligence as “highly operating systems that exceed people in most works of high economic value.” Nevertheless, the nature of what is considered a ‘highly operating system’ or what is meant by ‘high economic value’ business is not yet clear. Some specialists in the artificial intelligence sector believe that the advent of the artificial general intelligence of maturity can be reached during the next decade, while others see that the matter is out of reach, and that is if it is achieved at all. Agents: If chatbots the characteristic feature of the first year is what has seen a state of obsession with obstetrician artificial intelligence, the ‘agents’ may be the characteristic feature of the next phase. It is at least the bet of many technology companies. Talking robots like “Chat GBT” may provide a quick recipe or restaurant list, but hope is that artificial intelligence agents can ask what you need from the groceries or a table in a restaurant on your behalf. Although it may seem attractive to personal and professional uses, it also increases the level of risk if artificial intelligence makes a mistake. Algorithm: The algorithm is a step -by -step operational process used to solve a specific problem. Inputs (data and information from texts, photos, etc.) are made and some of the rules of logic are applied to eventually get outputs. People have used algorithms to solve problems for centuries. Some financial analysts spend their entire career building algorithms that can predict future events and help them earn profits. Our world is currently dependent on these ‘traditional’ algorithms, but the focus has recently turned to ‘learning’, based on the foundations of these ideas. Alignment: To prevent artificial intelligence from escaping and undergoing control, some workers in the sector focus on solving the problem of alignment, that is, to ensure that technology is designed to work in accordance with the basic human values. The problem is that there is no consensus about defining these values, or what should be and what should not be allowed to do artificial intelligence systems. Artificial Intelligence: This term has become so cute that it has lost part of its meaning. Generally, artificial intelligence refers to technology that mimics human intelligence and can perform a set of tasks that can usually be implemented by human intervention. The world of computer John McCarthy formulated the term artificial intelligence in the fifties of the last century, but it did not spread widely to the present century, when huge technology companies such as “Google” and “Mita platforms” – the company “Facebook” – and “Microsoft” between the power of the big calculations and the abundance of a large number of users. Although artificial intelligence can show human abilities in data processing or conversations, machines do “not really” what you do or say so far. It is still mainly dependent on algorithms. (B) Benchmarks: Due to the increasing entry of many new businesses to the market for artificial intelligence services and the intensification of the race, technology companies usually call a set of criteria to declare the scope of their program’s superiority over competitors. Nevertheless, there is no independent or uniform test used by artificial intelligence companies to compare the performance of their software. Some sector specialists are trying to solve this problem. Currently, businesses usually design their own standards to show the effectiveness of their services reaction to questions related to algebra issues and understanding reading and programming. (C) Chatbots: Chat robots were a pioneer in their ascension before obstetrician artificial intelligence (as someone knows who tried to communicate with customer service via the Internet), but a new generation of smart chat robots can make more interactive dialogues on different topics, such as historical information and new food recipes. With the investment of companies such as “Oben Ai” and “Google” in more advanced models, chat robots are likely to become more useful and more interactive, and it can reach a long time to achieve a goal for the technological sector, which is a virtual personal assistant instrument for multiple purposes. Claude: The Claude platform is one of the few services that really competes with the performance of the advanced technology offered by the “Oben Ai”. The emerging ‘anthropic’ company developed this chat robot, after being founded by a group of former employees in ‘Oben AI’ and focused on giving preference to the development of artificial intelligence. Similar to “Chat BT”, Claude can respond quickly to a wide range of users’ inquiries. But unlike “Oben Ai”, “Anthropic” has avoided some cases so far, such as generating images. According to the Begin, it focuses on building mainly focused products to companies of businesses. Computer Vision: It is a field of artificial intelligence that enables computer devices to explore visual information such as photos and videos, to identify and classify things and people. These systems can interact with what you see and take or recommend specific steps. This technology is used to detect wildlife to preserve it and to target self -driving vehicles. Nevertheless, its use in military and conditional surgeries raises concerns, as some studies have shown that it may show ethnic bias and do not have the accuracy needed to identify in a reliable way. (E) Emerging behavior: When large linguistic models reach a specific size, they sometimes begin to show functions that appeared to have appeared out of nothingness, which means that they are not meant or expected by the coaches. An example of this is the generation of implemented software codes, narratives of strange stories or recognition of films by solving a mystery consisting of a set of expressive symbols. (F) Fine institution: This can be considered a complicated term for the adjustment process, as the product is provided by the client’s request from the client. In the process of improving performance in specialized training, the user is trained in the training of a pre -existing artificial intelligence model on additional information devoted to a specific task or a specific field. This model can help provide the service as the user desires. For example, it is possible for a company that sells sports equipment to make a process of improving an artificial intelligence model with specialized training to respond better to inquiries related to the appropriate maintenance of an exercise bike. The most developed models: The models created are the most developed artificial intelligence models in the market. Currently, the businesses behind these models (“oben ai” “anthropic”, “google” and “meta”, all of which are part of a group called the Advanced Models Forum) to work with academic circles and policymakers to improve the development of advanced artificial intelligence systems in a responsible way. The costs associated with developing these advanced models are expected to rise in a major way, making it difficult for startups competing with major technology companies. (G) Gemini: Google was one of the first companies to have the artificial intelligence breed above the pinnacle, but it is currently fighting to keep up with the development in the ‘OPNI’. The most important piece is Google’s efforts in the “Gimenai” application, the name it gave it on its main chat robot and the family of its artificial intelligence models. The most advanced version of “Jiminai”- called “Ultra”- has the ability to deal with complicated software coding tasks and distractions based on mathematical calculations, just like the latest versions of “Oben AI” technology. Google reinforced the capabilities of the multimedia “Jimina”, through which the artificial intelligence model can respond to a meal picture by, for example, giving a recipe for cuisine. Generative AI: This term refers to the production of works (similar to images, articles and songs) based on simple questions or orders. These include technologies such as “Dall-E”, which can create complicated and detailed images within seconds, and “Suno” that generates music from a descriptive text. Tooled AI is new work after training in large quantities of existing material, which led to lawsuits by copyright that complains about theft of their actions. GPT: The pre -trained gym is a kind of great language. The term “transformer” indicates a system that can take chains of input and process it together instead of dealing with them separately, which benefits from the context and arranges words. It is important to make translation between languages. For example, the phrase “her dog, Poppy, in the kitchen”, can be translated into French in “Bobby ate her dog in the kitchen”, if the arrangement, grammatical and meaningful composition is not taken into account. GROK: From first glance it may seem a non -serious effort. The Chat Robot has received a wide media and public attention with its written scripts and the production of provocative images of feelings with a clear absence of censorship, produced by Xai, which is attached to Elon Musk, and is available to get subscribers to the “X” platform for the micro inflation. Nevertheless, Xai raised billions of dollars, attracted a team of talent and a major database uses users of the X platform that can be used to build its artificial intelligence products. As a result, Groke emerged as a real and striking time competitor. (H) Hallucination: When an artificial intelligence system is invented, such as’ Chat GBT ‘information that is apparently convincing but completely manufactured, this matter becomes’ hallucination s’ called. This phenomenon occurs when the system does not have the right answer to a question, but it knows how the disguised answer appears and gives it as a fact. There is concern that artificial intelligence cannot say “I don’t know” when asked about something that can lead to expensive mistakes, a serious misunderstanding and a wide spread of false information. Some artificial intelligence companies claim to have managed to improve the accuracy in the latest models, including making chat robots longer to think before answering, but the problem of hallucinations continues. (L) Great Language Models: These models are large neural networks that receive training with large amounts of texts and data, including e -books, news articles and Wikipedia pages. Although there are billions of data from which you learn, these models are the backbone of the natural language processing process as they can identify, translate, translate and generate texts. Lama: Meta has strongly invested in building a set of advanced models for artificial intelligence called ‘Lama’, and made it available for free for other technological development companies for use and construction on it. By this approach, “Meta” hopes to become ‘lama’, mainly not only for her ‘Meta Ai’ chat robot, but also for a long list of products that develop other businesses. It can make “dead” and “llama” an essential as in the artificial intelligence system. (M) Machine Learning: This term indicates that algorithms gradually improve (which are groups of instructions to achieve a specific result) by exposing it to large amounts of data. By reviewing many “inputs” and “outputs”, the computer can “learn” without having explicit training on the details of the required task. The iPhone application is an example, initially the application does not know what you look like, but as soon as you begin to place distinction mark as the owner of the face on the photos taken over years and in different environments, the device gets the ability to get to know you. Model’s collapse: Researchers have discovered that the training of artificial intelligence models about data containing content created by artificial intelligence, which is increasingly possible due to the amount of content currently distributed via the Internet, begins the final execution of these models. Some artificial intelligence monitors have expressed concern that these models can “collapse” if they are trained in large amounts of artificial intelligence content. A 2023 study on the collapse of models showed that the photos created by the artificial intelligence of people were distorted in a way trained after the model was trained on “small quantities, even from the works he born himself”. Multimodal systems: Companies that work in artificial intelligence are increasing with a focus on “multi -formula” systems that can process a series of different inputs such as texts, pictures and sound. For example, you may be able to talk to a chat robot and answer you with sound, or to show him a photo of the issue of math and solve it. This diversity not only improves the capabilities of artificial intelligence products, but also makes it look like a real chat with a digital assistant. (N) Natural Language Processing NP: This branch of artificial intelligence helps computers to understand, process, process and create speech similar to people. Natural language processing depends on the machine learning algorithms to extract data from written texts, translate languages, learn about handwritten words and record the meaning and context. This basic technology is used to operate virtual assistants such as “Siri” and “Alexa”, and allows them not only to understand requests, but to respond using a natural language. Natural language processing technology can also measure feelings in texts, for example when I tell ‘Siri’ ‘I’m sad’, it can imagine contacting a friend. Other daily applications include liquidation of random mail, online search, spelling auditing and prediction of text. Neural networks: It is a kind of artificial intelligence in which the computer is programmed to learn in a way that almost matches the way the human brain learns, through experience and mistakes. Success or failure affects future efforts and stimulates adaptation processes, just as the brain of a small child learns to build nervous paths based on what he has learned. This type of learning may require millions of efforts to achieve the desired efficiency, which explains the need for artificial intelligence platforms to large amounts of computer therapy. (O) Open Source: One of the main differences in the artificial intelligence sector – also with the bodies it wants to organize – in the discussion on the acceptance of open or closed models. Some use the term “open” wide, but it specifically indicates the idea of Open Source models, as developers allow the source codes to everyone, which gives them the freedom to use or change it according to their needs. This idea is based on the definition of the non -profit open source initiative, confirming that the actual Open Source software must meet specific conditions for distribution and access to it. (P) Parameters: When an artificial intelligence business introduces a new model, one of the most important numbers you call to distinguish the product, the number of data that will only control or request you. This term refers to the total number of data the model recorded during the training process, and is an indication of the size of the large language model. The numbers can be incredible. For example, the Meta’s artificial intelligence model is in three sizes, the largest of which contains approximately 400 billion data. Prompt: The experience of using artificial intelligence instruments usually begins in the formulation of input instructions, and this mainly represents any examination or request from the user. Examulations of formulating instructions may include a request to summarize a document from a chat robot, suggest tips to renew the home, or compose the lyrics of a song that talks about love on cranberry cakes. Quick Engineering: The accuracy and advantage of the answers to artificial intelligence is largely dependent on the quality of the orders given to it. Input engineering engineers can improve the natural language instructions to constantly deliver high quality outputs with the use of the lowest computer power. (R) Reasoning: During September 2024, “oben ai” began a new model that could perform a human spiritual reasoning tasks, such as responding to math and complex programming issues. In short, the updated system of artificial intelligence takes longer time to perform a computer process needed to give the answer before responding to the user, enabling it to solve the better multi -step problems. Google and Anthropic also develop spiritual inference skills in their advanced artificial intelligence models. (S) Small models: After years of trying to perform in building larger models, some artificial intelligence sector companies have assumed the idea that the greatest is not always the best. Companies, such as “Oben Ai”, “Google”, “Meta” and other small models, have introduced software that is narrower, easier and flexible than the large prominent language models. Although these options may not exceed the largest alternatives, small models can be a more efficient and lowest option for customers. Sentient AI: Most researchers agree that conscious artificial intelligence (that is, who has the ability to see and think about the world around it) is still far from the investigation. Although artificial intelligence can show abilities that look similar to people, the machines are still unable to “understand” what you do in truly. Artificial intelligence currently limits the discovery of patterns amid large amounts of information produced by people, and generates formulas that determine how it responds to the instructions. It can be difficult to determine when artificial intelligence will reach the stage of consciousness, especially as there is an absence from the broad consensus on the concept of consciousness itself and what it is accurate. Synthetic data: In the race to provide more data to develop large language models that manage chat robots with artificial intelligence, some technology companies have begun to experience artificial data. Companies use their own artificial intelligence systems to generate writings and other media that can then be used to train new models. This approach is useful to avoid some legal and moral concerns associated with the source of training data. But this may involve a negative aspect, as some are concerned that it leads to the decline of performing artificial intelligence systems, a phenomenon known as the collapse of the model. (T) Training data: Artificial intelligence enterprises collect or obtain a license to utilize large amounts of data to develop or train artificial intelligence models that can produce texts, photos, music and other media in response to user inquiries. These businesses are usually conservative about detecting the accurate data that depends on it, but for a chat that works artificial intelligence, can include training data articles, books, online comments and social media publications. For example, Sono, which specializes in generating music with artificial intelligence, explained that its programs have been trained in ‘ten millions of recordings’, including works that can be protected by copyright.
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