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Here we share tutorials and how-tos. The key is to blend high value educational content to practical applications, ideally for our readers and for ourselves.
Artificial intelligence (AI) is technology (applied knowledge) that enables machines to simulate human learning, comprehension / reasoning, problem solving, decision making, creativity and autonomy. AI enables us to build smart machines that can perceive, reason, and act to achieve defined outcomes. Also, by incorporating learning, they can adapt and improve their performance without explicitly reprogramming. For Deeper Learning
Refer: MIT - AI Glossary/ Dictionary This is a valuable set of AI vocabulary to start off with. It not only defines the AI terms, it also explains their importance. I suggest our readers to keep this list handy. Learning the basic AI vocabulary can help us gain a better understanding of complex field of AI. Also, developing AI literacy will enable us keep up with its advancement, appreciate its opportunities and challenges. Thus, putting us in a better position to balance any innovation with ethical considerations. Ultimately, we want AI to impact our society positively. Here’s another helpful MIT’s glossary on basic GenAI Refer: MIT - Glossary of Terms: Generative AI Basics (Check out their LLM definitions!)
Read: What is AI - IBM Website This site provides a complete guide to AI fundamentals. It relatively easy to go through AI fundamentals like machine learning, deep learning, generative AI, AI agents and agentic AI. In addition, it gives an overview of AI history, its benefits and use cases, AI ethics and governance. Overall, this is a great resource for me to start off.