Artificial intelligence (AI) permeates our daily lives, from virtual assistants on our smartphones to the algorithms behind display ads on websites. With 42% of businesses planning to integrate AI in the near future, expect an influx of AI-related terminology. For those seeking a comprehensive AI glossary, this blog post is designed to serve as an essential resource, covering the most common AI buzzwords currently in use.Embark on a journey to enhance your AI vocabulary from A to Z:
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AIAI, or artificial intelligence, refers to systems that employ machine learning and algorithms to mimic human intelligence.AI alignmentAI alignment is a discipline dedicated to ensuring AI systems align with human goals and ethical standards.AI biasAI bias occurs when machine learning algorithms yield prejudiced outcomes, often due to biased training data or algorithmic errors.AI ethicsAI ethics encompass moral principles guiding the responsible use, design, and development of AI to mitigate associated risks.AlgorithmAn algorithm is a set of instructions for an AI system detailing how to solve a problem or execute a task.AnthropomorphismAnthropomorphism is the tendency to ascribe human characteristics to non-human entities, such as animals and chatbots, often due to their human-like interactions.Artificial general intelligence (AGI)Artificial general intelligence (AGI) is an AI capable of performing intellectual tasks and executing tasks beyond its training, akin to human intelligence, though still theoretical.Artificial neural network (ANN)Artificial neural networks (ANNs) are subsets of machine learning that mimic the human brain’s neural pathways to solve problems.Association rule learningAssociation rule learning is an unsupervised machine learning technique that identifies patterns in large datasets, beneficial for marketing and customer segmentation.Augmented intelligenceAugmented intelligence leverages AI to enhance human intelligence and inform decision-making, rather than replacing human tasks.Automatic speech recognitionAutomatic speech recognition converts spoken language into written text, enabling applications like Whisper to recognize and translate speech.Black box AIBlack box AI refers to AI systems that are opaque in their operation and processing of user input, leaving users unable to inspect their logic or code.ChatbotChatbots are software designed to engage in conversation with humans, utilizing NLP to interpret queries and provide support.ChatGPTChatGPT is an LLM-powered chatbot from OpenAI that enables human-like interaction through conversation.CLIPCLIP is an OpenAI neural network that learns visual concepts from natural language, trained on images with text captions.CopilotCopilot is Microsoft 365’s AI assistant, built on OpenAI’s GPT-4 LLMs, designed to aid in various tasks.DALL-EDALL-E is an AI system capable of generating images and art from user descriptions, with DALL-E 2 offering higher-resolution images.Data miningData mining involves sorting large datasets to identify patterns valuable for further analysis and decision-making.Deep BlueDeep Blue, an IBM computer from 1997, was the first chess-playing system to defeat a world champion.Deep learningDeep learning is an advanced AI technique that mimics the human brain’s structure and function to make predictions based on learned patterns.DeepfakeDeepfake is an AI-generated content, often depicting fake events, created through sophisticated machine learning techniques.DiscriminatorIn a GAN, the discriminator is a classifier that attempts to distinguish real data from that generated by the generator.Garbage in, garbage out (GIGO)GIGO is a principle stating that poor-quality input data leads to poor-quality output, applicable to AI training data.Generative adversarial network (GAN)GANs consist of two neural networks competing: a generator creates outputs, while a discriminator assesses their authenticity.Generative AIGenerative AI creates content based on existing data it has been trained on.Generative pre-trained transformer (GPT)GPT is an LLM trained to generate content, with GPT-4 being the latest model as of this writing.HallucinationAI hallucinations occur when generative AI generates erroneous, fabricated information in response to prompts.Large language model (LLM)LLMs are AI trained on extensive text data, capable of understanding, generating, and predicting new content.Large Language Model Meta AI (LLaMA)LLaMA is a series of open-source LLMs launched by Meta AI in 2023.Machine learningMachine learning is AI that enables machines to learn from data and improve predictions with minimal human intervention.ModelA model is a machine learning algorithm trained to recognize patterns and make predictions.Natural language generation (NLG)NLG is the process of converting data into natural language that humans can understand, whether written or spoken.Natural language processing (NLP)NLP is a field of AI that studies how computers understand, interpret, and generate human language.Neural networkNeural networks, or ANNs, are subsets of machine learning that mimic the human brain’s neural pathways.OpenAIOpenAI is an American AI research lab established in 2015, known for developing GPT-4, ChatGPT, CLIP, and DALL-E.Pathways Language Model (PaLM)PaLM is Google’s transformer-based LLM capable of various tasks, including reasoning and code generation.Predictive AIPredictive AI analyzes data using statistical algorithms to forecast future outcomes.PromptA prompt is the input provided by a human user to an AI system, resulting in an output or result.Prompt engineeringPrompt engineering is the process of crafting and refining prompts for AI models to improve output quality.Reinforcement learningReinforcement learning is a machine learning method that trains AI agents to behave optimally in an environment through feedback.Reinforcement learning from human feedback (RLHF)RLHF trains AI models using direct human feedback, improving their behavior and responses.Speech recognitionSpeech recognition is the same as automatic speech recognition, converting spoken language into text.Supervised learningSupervised learning is a machine learning subset that trains algorithms using labeled input-output data.Synthetic dataSynthetic data is computer-generated data used to replace real-world data for privacy, bias reduction, and AI model enhancement.TransformerTransformers are deep learning models for NLP that process the context of words in sentences.Turing testThe Turing test assesses a computer’s ability to think like a human, evaluating a conversation between a human and a machine.Unsupervised learningUnsupervised learning analyzes unlabeled datasets to discover patterns and similarities without human intervention.ValidationValidation in AI involves testing an AI model’s performance during or after training to ensure effective learning.WhisperWhisper is an OpenAI multilingual speech recognition tool capable of recognizing and translating speech in various languages.Zero-shot learningZero-shot learning trains AI models to recognize and categorize objects they haven’t seen before.Armed with these key AI terms, are you ready to harness AI for your business? 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