ChatGPT Glossary: 49 AI Terms Everyone Should Know
Now the iPhone has Apple informationartificial intelligence is moving towards the mainstream. Chat GPT, Google Gemini and microsoft copilot Artificial intelligence is being pushed into all areas of technology, changing the way we interact with technology. Suddenly, people were able to have meaningful conversations with machines, which meant you could ask an AI chatbot a question in natural language and it would come up with novel answers just like a human would.
But that aspect Artificial Intelligence Chatbot Just part of the field of artificial intelligence. Of course, there are ChatGPT helps you do your homework Or let it be created halfway Fascinating mecha images based on country of origin Cool, but the potential of generative AI could completely reshape the economy. it might be worth it Contributes US$4.4 trillion to the global economy annuallywhich is why you should expect to hear more and more about artificial intelligence, according to the McKinsey Global Institute.
It appears in a dizzying array of products — a short list includes those from Google GeminiMicrosoft’s co-pilothuman Claudethis Puzzled AI search tools and widgets from humane and rabbit. You can read our reviews and hands-on evaluations of these and other products on our website, as well as news, explainers, and how-to posts. Artificial Intelligence Atlas Center.
As people become more accustomed to a world intertwined with artificial intelligence, new terms are cropping up everywhere. So whether you want to sound smart while drinking or impress during a job interview, here are some important artificial intelligence terms you should know.
This glossary is updated regularly.
Artificial General Intelligence (AGI): The concept proposes a more advanced version of artificial intelligence than we know today, one that can perform tasks better than humans while also teaching and improving its own abilities.
agent: A system or model that demonstrates the ability of agents to act autonomously to achieve goals. In the context of artificial intelligence, agent models can take actions without constant supervision, such as advanced autonomous vehicles. Unlike the “agent” framework, which sits in the background, the agent framework sits in the foreground and focuses on the user experience.
Artificial Intelligence Ethics: Principles aimed at preventing AI from harming humans, by determining how AI systems should collect data or deal with bias, for example.
Artificial Intelligence Security: It is an interdisciplinary field that focuses on the long-term effects of artificial intelligence and how it may suddenly develop into superintelligence that may become hostile to humans.
algorithm: A series of instructions that allow a computer program to learn and analyze data in a specific way (such as recognizing patterns) and then learn from it and complete tasks on its own.
Alliance: Tune artificial intelligence to better produce desired results. This can mean anything from moderating content to maintaining positive interactions with humans.
Personification: When humans tend to attribute human-like characteristics to non-human objects. In artificial intelligence, this might include believing that the chatbot is more human and aware than it actually is, such as believing that it is happy, sad, or even sentient.
Artificial Intelligence, or AI: The use of technology to simulate human intelligence, whether in computer programs or robotics. A field of computer science that aims to build systems that can perform human tasks.
Autonomous agent: An artificial intelligence model that has the capabilities, programming, and other tools to accomplish specific tasks. For example, a self-driving car is an autonomous agent because it has sensory input, GPS, and driving algorithms to navigate the road on its own. Stanford University researcher It has been shown that autonomous subjects can develop their own culture, traditions and common language.
bias: For large language models, training data can produce errors. This can lead to the incorrect attribution of certain characteristics to certain races or groups based on stereotypes.
Chatbot: Programs that communicate with humans through text that simulates human language.
Chat GPT: Developed artificial intelligence chatbot open artificial intelligence Use large language model technology.
Cognitive computing: Another term for artificial intelligence.
Data augmentation: Remix existing data or add more diverse datasets to train AI.
Deep learning: A method of artificial intelligence, and a subfield of machine learning, that uses multiple parameters to identify complex patterns in pictures, sounds, and text. The process is inspired by the human brain and uses artificial neural networks to create patterns.
diffusion: A machine learning method that takes existing data (such as photos) and adds random noise. The diffusion model trains its network to redesign or restore the photo.
Emergency behavior: When an AI model exhibits unexpected capabilities.
End-to-end learning, or E2E: A deep learning process in which a model is instructed to perform a task from start to finish. Rather than being trained to complete tasks in sequence, it learns from input and solves all problems at once.
Ethical Considerations: Understand the ethical implications of artificial intelligence and issues related to privacy, data use, fairness, abuse, and other security concerns.
curse: Also called a fast takeoff or a hard takeoff. The concept is that if someone builds a general artificial intelligence, it might be too late to save humanity.
Generative Adversarial Network (GAN): Generative AI models consist of two neural networks used to generate new data: a generator and a discriminator. The generator creates new content and the discriminator checks whether it is authentic.
Generative artificial intelligence: A content generation technology that uses artificial intelligence to create text, video, computer code, or images. AI takes in vast amounts of training data and finds patterns to generate its own novel responses, which may sometimes be similar to the source material.
Google Gemini: Google’s artificial intelligence chatbot, which functions similarly to ChatGPT, but pulls information from the current network, while ChatGPT is limited to data before 2021 and does not connect to the Internet.
Guardrail: Policies and restrictions imposed on artificial intelligence models to ensure that data is handled responsibly and that the model does not create disturbing content.
Hallucinations: Error response from AI. This can include generative artificial intelligence, which generates answers that are incorrect but confidently stated as correct. The reasons for this are not entirely clear. For example, when asking the AI ​​chatbot “When did Leonardo da Vinci paint the Mona Lisa?” it May respond with incorrect statements It says “Leonardo da Vinci painted the Mona Lisa in 1815,” which is 300 years after it was actually painted.
reasoning: The process by which artificial intelligence models are used to generate text, images, and other content about new data infer from their training data.
Large Language Model (LLM): An artificial intelligence model trained on large amounts of text data to understand language and generate novel content in human-like language.
Machine Learning (ML): A component in artificial intelligence that allows computers to learn and make better predictions without being explicitly programmed. Can be combined with the training set to generate new content.
Microsoft Bing: Microsoft’s search engine can now use ChatGPT-powered technology to deliver AI-driven search results. It is similar to Google Gemini for connecting to the Internet.
Multimodal Artificial Intelligence: A type of artificial intelligence that can process many types of input, including text, images, video, and speech.
Natural language processing: A branch of artificial intelligence that uses machine learning and deep learning to give computers the ability to understand human language, usually using learning algorithms, statistical models, and language rules.
Neural network: A computational model similar to the structure of the human brain designed to identify patterns in data. Made up of interconnected nodes, or neurons, that can recognize patterns and learn over time.
Overfitting: The mistake in machine learning is that it matches the function too closely to the training data, and may only recognize specific examples in said data, but not new data.
paper clip: Paperclip maximization theory, coined by philosopher Nick Bostrom One hypothetical scenario from the University of Oxford is that an AI system will create as many paper clips as possible. In order to produce the maximum number of paper clips, the AI ​​system assumes that all materials will be consumed or converted to achieve its goal. This could include dismantling other machines to produce more paper clips that could potentially benefit humanity. An unintended consequence of this artificial intelligence system is that it may destroy humanity in its goal of creating paper clips.
parameter: Numerical values ​​are assigned to the structure and behavior of the LL.M., enabling it to make predictions.
Puzzled: The name of the artificial intelligence chatbot and search engine owned by Perplexity AI. It uses large language models, like those in other AI chatbots, to answer questions with novel answers. Its connection to the open internet also enables it to provide up-to-date information and pull results from the web. Perplexity Pro is the paid tier of the service, and other models are also available and used, including GPT-4o, Claude 3 Opus, Mistral Large, the open source LlaMa 3, and its own Sonar 32k. Professional users can also upload documents for analysis, generate images and interpret code.
Quickly: Suggestions or questions you enter into the AI ​​chatbot to get responses.
Tip link: The ability of AI to use information from previous interactions to color future responses.
Random parrot: The LLM analogy shows that no matter how convincing the output sounds, the software does not develop a deeper understanding of the meaning behind the language or the world around it. This quote refers to how parrots imitate human speech without understanding the meaning behind it.
Style transfer: The ability to adapt the style of one image to the content of another allows AI to interpret the visual properties of one image and use them in another image. For example, re-create Rembrandt’s self-portrait in the style of Picasso.
temperature: Sets parameters that control how random the language model output is. Higher temperatures mean greater risk for the model.
Text to image generation: Create an image based on a text description.
Token: An AI language model processes a short snippet of written text to formulate a response to your prompts. A token is equivalent to four characters in English, or about three-quarters of a word.
Training data: A dataset, including text, images, code, or data, used to help artificial intelligence models learn.
Transformer model: A neural network architecture and deep learning model that learns context by tracking relationships in data, such as parts of sentences or images. So instead of analyzing a sentence one word at a time, it can look at the entire sentence and understand the context.
Turing test: Named after the famous mathematician and computer scientist Alan Turing, it tests the ability of machines to behave like humans. If a person can’t tell the difference between a machine’s response and another person’s, the machine will pass.
Unsupervised learning: A form of machine learning in which the model is not provided with labeled training data, but rather the model must identify patterns in the data on its own.
Weak artificial intelligence, also known as narrow artificial intelligence: Artificial intelligence is focused on specific tasks and cannot learn beyond its skill set. Most of today’s artificial intelligence is weak artificial intelligence.
Zero-shot learning: The model must be tested to complete the task without being provided with the necessary training data. An example would be identifying lions while only being trained on tigers.
