Anthropic (aka Anthropic PBC): An American artificial intelligence public-benefit startup founded in 2021. It researches and develops AI to "study their safety properties at the technological frontier" and use this research to deploy safe, reliable models for the public.
Artificial Intelligence (AI): AI refers to the development of computer systems that can perform tasks that would normally require human intelligence.
AI-generated text: Text created by artificial intelligence based on vast amounts of data of existing content from the internet.
Chatbots (or “bots”): A program designed to help human users with simple tasks and communicate via voice or text commands in order to feel like a human-to-human conversation.
ChatGPT: ChatGPT (short for Chat Generative Pre-trained Transformer) is a chatbot launched by OpenAI in November 2022. It is a Large Language Model with both supervised and reinforcement learning techniques. ChatGPT can produce a body of unique text from a user’s specific input based on existing content from the internet.
Conversational AI: A form of digital assistant such as Siri and Alexa.
DALL-E 1: Launched by OpenAI in January 2021, it’s an AI that generates images based on text and belongs to a family of AI called Diffusion Models. In 2022, it was superseded by DALL-E 2.
Deep Learning: A family of Artificial Intelligence architectures that uses neural networks to encode information, resulting in state-of-the-art performance across a wide array of tasks. Generative AI models are typically examples of Deep Learning.
Generative AI: Large Language Models trained using massive amounts of data. The algorithm creates an answer based not on the rules of English grammar, but the likelihood of what the next word should be according to its training.
Large Language Models (LLMs): Advanced AI systems which are trained on massive amounts of data to understand, generate, and predict human language.
Hallucinations: Hallucinations in AI occur when a model generates information which is incorrect or misleading, despite sounding plausible. These models work by recognizing patterns in large datasets and predicting the most likely response.
Machine Learning: ML is a part of AI which involves using computer algorithms to recognize patterns in data and make predictions based on those patterns.
Natural Language Processing: NLP is another branch of AI that focuses on enabling computers to understand and imitate human language.
Open AI: An Artificial General Intelligence (AGI) research and deployment company based in San Francisco, California (USA), seeking to develop and build AGI that benefits all of humanity. Their most recent releases include ChatGPT and DALL-E 2.
The Singularity: The singularity is a hypothetical point in time when AI surpasses human intelligence, leading to growth which is uncontrollable or irreversible. This is the point-of-no-return for a Matrix-esque a future ruled by AI.
Strong AI: This field of research is focused on developing AI that is equal to the human mind when it comes to ability. General AI is a similar term often used interchangeably.
Supervised learning: An approach to creating artificial intelligence where a computer algorithm is trained on input data that has been labeled for a particular output.
Text spinners: Also known as AI paraphrasing tools, these are software tools that are used to automatically rewrite or rephrase a given piece of text in order to generate multiple variations of the original text.
Turing Test: A test that examines a machine’ s ability to pass for a human, specifically in language and behavior. A machine can pass this test if, after being graded by a human, its performance is indistinguishable from that of human participants. This test is named after Alan Turing (1912-1954), a notable English mathematician, computer scientist, and logician.
Unsupervised learning: The use of AI algorithms to identify patterns in data sets containing data points that are neither classified nor labeled.