AI Glossary: 60+ Essential Terms Explained

How AI is Transforming Modern Marketing Strategies Park University

Not only did they use this AI to create an avatar to replace an actor, but they also used it to cut the costs of video production. The World Economic Forum reports that 1.1 billion jobs will be radically transformed by technology in the next 10 years, mandating the need for 680 million to receive improved education and skills. So, you must invest in the education and development of your team to keep up with the rapidly evolving AI landscape. Modern AI tools allow for seamless integration and unification of data from various sources, breaking down silos and providing a holistic view. Previously, correlating data from disparate sources was challenging, meaning that many comparisons were faulty and irrelevant.

Data-backed decisions

Customer support can feel like an eternal cycle of inquiries, often stretching teams thin. And for many brands, limited budgets make it hard to provide comprehensive support with human agents. Birdeye’s GenAI suite personalizes messaging, tracks customer sentiment, and delivers insights by location, audience, or campaign. Traditional marketing campaigns rely on post-mortem reports and manual adjustments. AI simplifies personalization by analyzing patterns in customer behavior, reviews, and preferences, and then translating them into timely and relevant actions.

What is Artificial Intelligence? Understanding AI and Its Impact on Our Future

In the early 21st century faster processing power and larger datasets (“big data”) brought artificial intelligence out of computer science departments and into the wider world. Moore’s law, the observation that computing power doubled roughly every 18 months, continued to hold true. The stock responses of the early chatbot Eliza fit comfortably within 50 kilobytes; the language model at the heart of ChatGPT was trained on 45 terabytes of text. AI research follows two distinct, and to some extent competing, methods, the symbolic (or “top-down”) approach, and the connectionist (or “bottom-up”) approach. The top-down approach seeks to replicate intelligence by analyzing cognition independent of the biological structure of the brain, in terms of the processing of symbols—whence the symbolic label.

Top 10 Best AI Apps & Websites in 2025: Free and Paid

Shortwave has a free plan with AI assistance, inbox customization, and 90 days of searchable history. The Personal Plan is $8.50 per seat/month and adds more power for everyday users. I tested it on two of my side projects—one is an Airbnb property management company, the other a digital marketing agency. Because large language models generate responses based on statistical patterns in their training data, you’re often left with a “most likely” answer rather than a surprising or original one. Traditional search, on the other hand, can lead you to that obscure blog post or forgotten forum thread that shifts your perspective.

What is AI inferencing?

Analog AI is now very much on the path to solving the sorts of AI problems that today’s digital systems are tackling, and the vision of power-conscious analog AI, married up with the digital systems we use today, is becoming clearer. Today, LLM-powered chatbots can give customers more personalized answers without humans having to write out new scripts. And RAG allows LLMs to go one step further by greatly reducing the need to feed and retrain the model on fresh examples. Simply upload the latest documents or policies, and the model retrieves the information in open-book mode to answer the question. By grounding an LLM on a set of external, verifiable facts, the model has fewer opportunities to pull information baked into its parameters. This reduces the chances that an LLM will leak sensitive data, or ‘hallucinate’ incorrect or misleading information.

Non-intrusive operator inference for chaotic systems

“You want to cross-reference a model’s answers with the original content so you can see what it is basing its answer on,” said Luis Lastras, director of language technologies at IBM Research. Each of these techniques had been used before to improve inferencing speeds, but this is the first time all three have been combined. IBM researchers had to figure out how to get the techniques to work together without cannibalizing the others’ contributions. “It’s like three people fighting with each other and only two are friends,” said Mudhakar Srivatsa, an expert on inference optimization at IBM Research.

prepositions Which is correct? " ..purchased from in at your store" English Language Learners Stack Exchange

Overly formal greetings, obsequiously polite expressions, grandiose humility, etc. may indeed have the opposite of their intended effect. Americans, say, or Australians may interpret suffusive politeness as insincere or patronizing, and take it with impatience or suspicion. Dear Sir or Dear Maam is sufficiently polite for business letters, and a personalized salutation (Dear Prof. Jones, Dear Dr. Smith) would be even better. The sentence is correct.The selection of the word is good.Submitted- denotes humbleness and respect for the organisation or the individual who is the addressee here. Present perfect tense is used, because the actions related to your application (review and decision) are in the present time frame.

Linked

C.) I am writing to express my concern about the laptop that I purchased at your store last week. B.) I am writing to express my concern about the laptop that I purchased in your store last week. A.) I am writing to express my concern about the laptop get more info that I purchased from your store last week. The salutations ‘Dear Respected Sir/Madam’, ‘Respected Sir/Madam’ and ‘Respected Sir’ are very common in Indian English. Senders of letters think that it is essential to address the recipient as ‘Respected Sir / Madam’ if the person is held in high regard or holds an important position.

AI in Business: How and Why Companies Are Using AI for Automation

AI tools in workflow and productivity are designed to help businesses automate tasks, streamline operations, and improve overall efficiency. These platforms use AI to analyze workflows, suggest improvements, and automate repetitive processes. By reducing manual effort, businesses can focus on high-value activities like strategy development and creative work.

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The best part is that it schedules meetings while ensuring they don’t conflict with your calendar. In addition to spelling and grammar corrections, it can help you brainstorm content ideas, prepare outlines, summarize content, find content gaps, and a lot more using text-based prompts. The user only needs to describe what they want, and the generator will create the image.

ChatGPT Wikipedia

Finally, developers can also access ChatGPT through OpenAI’s API, where you pay for it based on the number of tokens you use. AI has become a part of daily life faster than almost anyone expected. Since the release of ChatGPT in 2022, artificial intelligence has shown up everywhere, from Google's search overviews to creative tools like Canva. The rise of AI has changed how we work and how we manage our time, offering new ways to organize information, create content, and even simplify everyday tasks.

Artificial Intelligence vs Machine Learning: Whats the Difference?

You need a place to store your data and mechanisms for cleaning it and controlling for bias before you can start building anything. Classic or “nondeep” machine learning depends on human intervention to allow a computer system to identify patterns, learn, perform specific tasks and provide accurate results. Human experts determine the hierarchy of features to understand the differences between data inputs, usually requiring more structured data to learn. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. It’s the number of node layers, or depth, of neural networks that distinguishes a single neural network from a deep learning algorithm, which must have more than three.

Real-world gen AI use cases from the world's leading organizations Google Cloud Blog

AI analyses blood panel results to identify abnormalities and assist in diagnosing various conditions. Generating prognosis reports based on initial diagnosis to predict disease progression and treatment outcomes. Offers alternative gaming options during peak times to minimize wait times and optimize player satisfaction. Suggests games tailored to player preferences and past gaming history, enhancing the gaming experience.

Tinkercad Wikipedia

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies from different methods to improve existing AI models or come up with new ones. An early example of generative AI is a much simpler model known as a Markov chain.

Data safety

The models have the capacity to plagiarize, and can generate content that looks like it was produced by a specific human creator, raising potential copyright issues. Just a few years ago, researchers tended to focus on finding a machine-learning algorithm that makes the best use of a specific dataset. But that focus has shifted a bit, and many researchers are now using larger datasets, perhaps with hundreds of millions or even billions of data points, to train models that can achieve impressive results. Before the generative AI boom of the past few years, when people talked about AI, typically they were talking about machine-learning models that can learn to make a prediction based on data.

10 Real Benefits of Artificial Intelligence With Examples Fonzi AI Recruiter

Artificial intelligence as a technology has a long way to go, but that doesn’t mean that it’s not already well within the mainstream. And with so many people choosing to invest in its development, it’s only a matter of time before humankind reaches more breakthroughs in the technology. It requires technology — hardware and software — that needs constant updating to stay effective and relevant. AI is very complex and requires maintenance, incurring ongoing costs beyond its initial creation.

AI Content Writer, Editor & Optimization Tool

Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on. Current AI models struggle profoundly with large code bases, often spanning millions of lines. Foundation models learn from public GitHub, but “every company’s code base is kind of different and unique,” Gu says, making proprietary coding conventions and specification requirements fundamentally out of distribution.

2025 Best Free AI Tools Tested by Real Users​

Free AI tools are not just useful, but they are also a good way to learn. By using these tools, people can understand better what AI can and can’t do. This hands-on experience is really valuable for learning and can get more people interested in exploring AI further. Plus, many free AI tools are part of projects where everyone can chip in and help make the tool better. This way, the tools keep improving and the community of users and creators grows, helping each other out. So, while we love exploring what these tools can do, we’ve learned to be realistic.

Data Analysis

It’s recommended to start with free plans to test capabilities before committing to paid options. Avatalk‘s AI digital business cards emerged as a standout networking solution. The platform’s customizable AI avatars engage in dynamic conversations with potential contacts even during your absence.