Chatgpt Glossary: ​​50 Amnesty International should be known to everyone

On the condition More than half of the Americans use artificial intelligence regularlySoon it became a natural part of our daily life. Chatgptand Google Gemini and Microsoft Copilot They pushing Amnesty International to all technology, and changing how we interact with everything. Sudden Amnesty International Chatbot In the natural language and can respond with new answers, such as humans.

But this aspect of Ai Chatbots is only one part of the scene of artificial intelligence. Certainly, existence Chatgpt helps in doing your duty Or create Midjourney Great pictures of mechanics based on the country of origin Wonderful, but obstetric artificial intelligence can completely reshape the economies. This may be worth 4.4 trillion dollars for the global economy annuallyAccording to the McKinsey World Institute, which is why you should expect more and more hearing about artificial intelligence.

It appears in an amazing collection of products – a short short menu that includes Google’s twinMicrosoft CopilotAntarbur Claudethe Confusion AI search tool and tools from Humanity and rabbit. You can read our reviews and practical evaluation of these products and other products, along with news, explanation and publications, in our AI Atlas Hub.

When people become more dependent on a world intertwined with artificial intelligence, new terms appear everywhere. So, whether you are trying to look smart on drinks or influence a job interview, here are some of the important conditions of artificial intelligence that you should know.

This diligent is updated regularly.

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Artificial General Intelligence, or AGI: A concept that indicates a more advanced edition of artificial intelligence than we know today, can perform tasks much better than people while teaching and progressing their own capabilities.

proxy: Systems or models that show the agency with the ability to follow up independently to achieve a goal. In the context of artificial intelligence, the working model can act without continuous supervision, such as a high -level independent car. Unlike the “agent” framework, which is in the background, the frameworks worked in the foreground, focusing on the user experience.

Artificial Intelligence Ethics: Principles aimed at preventing Amnesty International from hurting humans, are achieved by means such as how to determine how artificial intelligence systems collect or deal with bias.

Artificial intelligence safety: A multidisciplinary field is concerned with the long -term effects of Amnesty International and how it can suddenly advance to super intelligence that can be hostile to humans.

The algorithm: A series of guidelines that allow the computer program to learn and analyze data in a certain way, such as identifying patterns, then learning from them and completing tasks on their own.

coordination: Modify artificial intelligence to better produce the desired result. This can indicate anything from moderate content to maintaining positive reactions towards humans.

anthropomorphic: When humans tend to give non -human things human characteristics. In artificial intelligence, this can include the belief that Chatbot is more humane, conscious than it is, such as believing that it is happy, sad, or even completely emotional.

Artificial intelligence, or artificial intelligence: The use of technology to simulate human intelligence, whether in computer programs or robots. A computer science field aims to build systems that can perform human tasks.

Independent factors: The artificial intelligence model that has the capabilities, programming and other tools to accomplish a specific task. The self -driving car is an independent factor, for example, because it contains sensory inputs, GPS and driving algorithms to move on the road on its own. Researchers in Stanford It has shown that independent factors can develop their cultures and traditions and the common language.

prejudice: Regarding large language models, and the errors resulting from training data. This can support some characteristics of some races or stereotypes based.

Chatbot: A program that communicates with humans through the text that simulates the human language.

Chatgpt: Chatbot Amnesty International was developed by Openai Which uses a large language model technology.

Cognitive computing: Another term for artificial intelligence.

Data Increase: Restore current data or add a more varied set of data to train artificial intelligence.

Deep learning: A method of artificial intelligence, and a sub -learning field, use multiple parameters to identify complex patterns in images, sound and text. This process is inspired by the human brain and uses artificial nerve networks to create patterns.

spread: A method of machine learning takes a part of the data, such as the image, and adds random noise. Training the spread of its networks to re -engineer or recover that image.

Emerging behavior: When the artificial intelligence model displays unintended capabilities.

Comprehensive learning, or E2E: A deep educational process in which the model is directed to perform an important performance from start to finish. He has not been trained to accomplish a task in succession, but instead he learns from the inputs and resolved them once.

Ethical considerations: Aware of the ethical effects of the IQ Agency, issues related to privacy, the use of data, fairness, abuse of use and other safety issues.

Foom: Also known as rapid takeoff or difficult take -off. The concept that if someone built AGI, it may be too late to save humanity.

Obstetric litigation networks, or Gans: AI Tawylid model consists of two nervous networks to create new data: generator and discrimination. The generator creates new content, and discrimination is achieved to see if it is authentic.

AI Al -Tulaidi: Content generation technology uses artificial intelligence to create text, video, computer code or images. Artificial intelligence is fed large amounts of training data, and finds patterns to create its new responses, which may sometimes be similar to the source matter.

Google Gemini: Ai Chatbot from Google works similar to ChatGPT but withdraw information from the current web, while Chatgpt is limited to data until 2021 and is not connected to the Internet.

Handrails: Policies and restrictions placed on artificial intelligence models to ensure data processing responsibly and that the model does not create annoying content.

hallucination: An incorrect response to artificial intelligence. AI’s answers to artificial intelligence can include incorrect but mentioned with confidence as if they were correct. The reasons for this are completely unknown. For example, when asked Chatbot, Amnesty International, “When did Leonardo Da Vinci draw the Mona Lisa?” He – she It is permissible to respond with an incorrect statement He said: “Leonardo Da Vinci drew the Mona Lisa in 1815”, after 300 years of already drawn it.

Inference: AI models are used for the process to create text, pictures and other content about new data, by conclusion From their training data.

A large language model, or llm: The artificial intelligence model has been trained in large quantities of text data to understand the language and create new content in a human -like language.

cumin: Time delay from when the artificial intelligence system receives input or router and produces output.

Automated learning, or ml: Making in artificial intelligence allows computers to learn and make better predictive results without explicit programming. It can be associated with training groups to create new content.

Microsoft Bing: Microsoft search engine can now use technology that operates Chatgpt to provide search results supported by artificial intelligence. It is like Google Gemini in the Internet connection.

Amnesty International Multimedia: A type of artificial intelligence that can process multiple types of inputs, including text, photos, videos and speech.

Natural language processing: A branch of artificial intelligence that uses machinery and deep learning to give computers the ability to understand the human language, and often uses learning algorithms, statistical models and linguistic rules.

Neurological Network: A calculation model similar to the human brain structure and aims to identify patterns in data. It consists of interconnected nodes, or neurons, which can recognize patterns and learn over time.

Portfolio: Automated learning error as it works closely to training data and may only be able to determine specific examples of the aforementioned data but not new data.

Paperclips: The theory of Maximiser Paperclip, formulated by the philosopher Nick poster From Oxford University, it is a virtual scenario where the artificial intelligence system will create the largest possible number of craftsable pin. In its goal to produce the maximum amount of paper pin, the artificial intelligence system consumes virtual or transforms all materials to achieve its goal. This may include dismantling other machines to produce more paper pin, machines that may be useful for humans. This unintended result of this artificial intelligence system is that it may destroy humanity in its goal to make paper pin.

border: The numerical values ​​that give the LLMS structure and behavior, allowing it predictions.

Perfume: Chatbot AI and the AI ​​Perplexity search engine. A large language model, such as those in other chat groups of artificial intelligence, is used to answer questions with new answers. Its open internet connection also allows abandoning information and withdrawing from results from all over the web. Perplexity Pro, which is a paid layer of service, is also available and other models are used, including GPT-4O, Claude 3 OPUS, Mistral Large, Open Open Open Open and Sonar 32K. Professional users can also download documents for analysis, create images and explain code.

Call: The proposal or question you enter into Chatbot Amnesty International for a response.

Immediate chains: The ability of artificial intelligence to use information from previous interactions to color future responses.

Random parrot: LLMS is an analogy that shows that the program does not have a greater understanding of the meaning behind the language or the world around it, regardless of the extent of convincing sounds of directing. The phrase indicates how the parrot can simulate human words without understanding the meaning behind it.

Movement: The ability to adapt the image style with the content of another image, allowing the AI ​​Agency to explain the visual features of one image and use it on another image. For example, take the self -photographer of Rembrandt and re -create it in Picasso style.

Termose: Teachers appoint to control the random extent of the language model. Top temperature means that the model bears more risks.

Text generation to a picture: Create photos based on text descriptions.

Symbols: Small parts of the written text that the artificial intelligence language models are treated to formulate their responses to your claims. The distinctive symbol is equivalent to four letters in English, or about three quarters of the word.

Training data: Data sets used to help artificial intelligence models in learning, including text, photos, code or data.

Transforme Model: The structure of the nerve network and the deep learning model that learns the context by tracking relationships in data, as is the case in the sentences or parts of the images. So, instead of analyzing the sentence of one word at a time, you can look at the entire sentence and understand the context.

Torring Test: It was named after the famous mathematics scientist and computer scientist Alan Torring, and he tests the ability of the machine to act like a person. The device passes if a person is unable to distinguish between the response of the machine and the other person.

Not subject to supervision: A form of automatic learning where the training data called the model is not provided, instead the model must specify the patterns of data in itself.

Amnesty International, also known as narrow intelligence: Amnesty International, which focuses on a specific task and cannot learn beyond the skills set. Most artificial intelligence today is weak.

Zero learning: The test in which the important form must be completed without giving the required training data. An example of this is to get to know the lion while it is trained only on the tigers.