10 Key Terms You Need to Know in the World of Artificial Intelligence — All AI Buzzwords?
From Big Data to ChatGPT, these are the 10 must-know terms shaping AI in 2023 and 2024.
Artificial intelligence (AI) is all about machines doing things that usually require human smarts. Think of it as teaching computers to see, hear, talk, and even think like us. With advances in computing power, new algorithms, and a ton of data, AI is becoming smarter and more influential. In this post, we’ll break down 10 key terms that are making waves in AI right now.
Machine Learning
Machine Learning is like giving a computer the ability to learn on its own. It’s a core part of AI, allowing systems to get better over time without being explicitly programmed for every possible scenario. From understanding user intentions to making decisions, Machine Learning is what makes AI smarter and more adaptable.
Deep Learning
Deep Learning is the tech behind machines that learn by doing — just like humans. It’s a branch of AI that uses artificial neural networks to teach computers how to recognize patterns, make decisions, and even predict the future. Whether it’s spotting a cat in a photo or detecting cancer cells, Deep Learning is the magic that makes it happen.
Big Data
Big Data is exactly what it sounds like — huge datasets that are crunched to uncover insights that would be impossible to spot otherwise. We’re talking billions of records here, often requiring some serious computer power to analyze. This data can be structured with specific fields or unstructured, like text or images. By analyzing Big Data (e.g. Google Cloud Big Data), especially with the help of AI, we can spot trends and patterns that were hidden in plain sight.
Edge Computing
Edge Computing is about bringing the power of AI closer to where the action is — right at the source of the data. By processing data on the edge, instead of sending it back to a central server, we can cut down on delays, save bandwidth, and reduce energy use. This is super important for things like smart cities, self-driving cars, and other systems that need to react in real-time.
Cloud Robotics
Imagine robots powered by the cloud — this is what Cloud Robotics is all about. By tapping into the cloud’s vast computing and storage capabilities, robots can do more with less. They can share information, learn from each other, and even be controlled remotely by humans. This means smarter, more capable robots that are better at their jobs, whether they’re in a factory or your living room.
Game AI
If you’ve ever played a video game and thought, “Wow, this enemy is smart!” — that’s Game AI at work. It’s the tech that makes non-player characters (NPCs) act in ways that seem almost human. Instead of relying on random behavior, Game AI uses algorithms to create intelligent, reactive gameplay that keeps you on your toes.
Large Language Models
Large Language Models (LLMs) are sophisticated engines powering a wide array of AI applications, from generating human-like text to writing code and performing sentiment analysis. These models, such as OpenAI’s GPT series, Google’s PaLM, Meta’s LLaMA, Anthropic’s Claude, and Mistral’s cutting-edge offerings, are trained on vast datasets and possess an incredible ability to predict and generate language.
“This enables them to assist in creative writing, customer service, translation, agentic process automations for business at any stage and much more.”
— Reza Rezvani, CTO at LINDERA
As LLMs continue to evolve, they won’t just generate words — they’ll increasingly capture the subtleties of emotions, tone, and context with remarkable precision. This advancement will allow AI-driven conversations to become more intuitive, empathetic, and natural, blurring the lines between human and machine interaction. Future LLMs will not only enhance communication but also revolutionize industries by offering deeper insights, more personalized experiences, and improved decision-making capabilities.
GPT-4
GPT-4 is the latest and greatest from OpenAI, and it’s a big deal. This model isn’t just about text anymore — it can also process images, making it a multimodal powerhouse. Whether you’re analyzing text or interpreting images, GPT-4 is designed to handle it all, pushing the boundaries of what AI can do.
ChatGPT
ChatGPT takes the chatbot game to a whole new level. Built on top of OpenAI’s GPT-4o, this model has been trained on a massive amount of internet text to handle all sorts of language tasks. From translating languages to summarizing long articles or even answering tricky questions, ChatGPT is like a Swiss Army knife for text-based tasks.
Chatbot
A chatbot is like your virtual buddy that’s always ready to chat. Whether you’re asking about the weather, needing customer support, or just want to pass the time, a chatbot (like IBM WatsonX Generative AI Assistant) is there to help. These bots are programmed to have conversations based on pre-set scripts, making them perfect for handling repetitive questions or tasks, so humans can focus on more interesting stuff.
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