{"id":419817,"date":"2026-02-15T16:03:00","date_gmt":"2026-02-15T10:33:00","guid":{"rendered":"https:\/\/dripp.zone\/news\/decoded-ai-buzzwords-everyone-talks-about-crypto-news\/"},"modified":"2026-02-15T17:18:14","modified_gmt":"2026-02-15T11:48:14","slug":"decoded-ai-buzzwords-everyone-talks-about-crypto-news","status":"publish","type":"post","link":"https:\/\/dripp.zone\/news\/decoded-ai-buzzwords-everyone-talks-about-crypto-news\/","title":{"rendered":"Decoded: AI buzzwords everyone talks about &#8211; Crypto News"},"content":{"rendered":"<p><\/p>\n<div>\n<div id=\"article-index-0\" class=\"storyParagraph\">\n<p>New Delhi, Feb 15 (PTI) Artificial intelligence is rapidly reshaping industries, workplaces and the daily digital life, emerging as one of the most transformative technologies &#8211; and a focal point of global conversations.<\/p>\n<\/div>\n<div id=\"article-index-1\" class=\"storyParagraph\">\n<p>As chatter around AI intensifies ahead of the mega summit that New Delhi is set to host, here is a straightforward guide to some frequently used terms making headlines, and what they mean.<\/p>\n<\/div>\n<div id=\"article-index-2\" class=\"storyParagraph\">\n<p>From LLMs to guardrails, decoding AI vocabulary:<\/p>\n<\/div>\n<div id=\"article-index-3\" class=\"storyParagraph\">\n<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;<\/p>\n<\/div>\n<div id=\"article-index-4\" class=\"storyParagraph\">\n<p>&#8212; AI: First things, first. Artificial Intelligence, or AI, refers to the simulation of human intelligence by machines. Think of it as systems designed to perform tasks that typically require human intelligence &#8211; understanding language, recognising images, making decisions, solving problems, and increasingly, creating content such as text, music or videos.<\/p>\n<\/div>\n<div id=\"article-index-5\" class=\"storyParagraph\">\n<p>At its core, AI is about enabling machines to learn from data. Instead of being programmed step-by-step for every scenario &#8211; as is the case with conventional software &#8211; AI systems are trained on large volumes of information to detect patterns, make predictions and improvise over time.<\/p>\n<\/div>\n<div id=\"article-index-6\" class=\"storyParagraph\">\n<p>&#8212; Large Language Model (LLM): An LLM is a type of AI model trained on vast amounts of data (books, websites, articles) to understand and generate human-like language. LLMs power chatbots, writing assistants, coding tools and search summaries.<\/p>\n<\/div>\n<div id=\"article-index-7\" class=\"storyParagraph\">\n<p>They work by predicting the next word in a sequence based on patterns learned from massive data sets. An LLM specialises in language.<\/p>\n<\/div>\n<div id=\"article-index-8\" class=\"storyParagraph\">\n<p>Prominent examples include Grok, GPT-4o, Claude 4, Gemini 2.5, Llama 4 and DeepSeek-R1.<\/p>\n<\/div>\n<div id=\"article-index-9\" class=\"storyParagraph\">\n<p>&#8212; Generative AI: AI that can create new content &#8211; text, images, music, code or video in response to prompts.<\/p>\n<\/div>\n<div id=\"article-index-10\" class=\"storyParagraph\">\n<p>It includes text generators (often powered by LLMs), as well as image models, video models, voice synthesis tools and music generators.<\/p>\n<\/div>\n<div id=\"article-index-11\" class=\"storyParagraph\">\n<p>These systems respond to prompts and generate outputs that resemble human-created work, from summarising reports and writing code to composing music, designing logos, creating marketing copy, generating product descriptions, producing social media posts, building presentations, creating synthetic voices, generating realistic images and videos, and even simulating customer service conversations.<\/p>\n<\/div>\n<div id=\"article-index-12\" class=\"storyParagraph\">\n<p>&#8212; Use Cases: A &#8216;use case&#8217; means how AI is applied in real-world scenarios, or simply, its practical impact. Common use cases could include fraud detection in banking, personalised recommendations on OTT platforms, AI tools in agriculture, analysing soil and weather data, healthcare diagnostics, and drug discovery.<\/p>\n<\/div>\n<div id=\"article-index-13\" class=\"storyParagraph\">\n<p>&#8212; Algorithm: A set of defined rules or instructions that tells a computer how to process data and make decisions. Think of algorithms as the building blocks of AI systems.<\/p>\n<\/div>\n<div id=\"article-index-14\" class=\"storyParagraph\">\n<p>&#8212; AI guardrails: Safeguards woven into AI systems to ensure they operate safely, ethically and within defined boundaries. They are designed to prevent harmful, biased, illegal or inappropriate outputs, and to align the system&#8217;s behaviour with laws, policies and human values.<\/p>\n<\/div>\n<div id=\"article-index-15\" class=\"storyParagraph\">\n<p>Guardrails could be around content filters, safety policies, bias mitigation, among others.<\/p>\n<\/div>\n<div id=\"article-index-16\" class=\"storyParagraph\">\n<p>&#8212; Bias (AI Bias): Systematic errors in AI outputs caused by skewed training data, flawed assumptions or design limitations.<\/p>\n<\/div>\n<div id=\"article-index-17\" class=\"storyParagraph\">\n<p>&#8212; AI hallucination: When an AI system generates information that appears plausible and convincing but is factually incorrect or fabricated.<\/p>\n<\/div>\n<div id=\"article-index-18\" class=\"storyParagraph\">\n<p>&#8212; Prompt: The input or instruction given to a generative AI system to produce a response.<\/p>\n<\/div>\n<div id=\"article-index-19\" class=\"storyParagraph\">\n<p>&#8212; Token: A unit of text (word, sub-word, or character) that an AI model processes during training and inference.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>New Delhi, Feb 15 (PTI) Artificial intelligence is rapidly reshaping industries, workplaces and the daily digital life, emerging as one of the most transformative technologies &#8211; and a focal point of global conversations. As chatter around AI intensifies ahead of the mega summit that New Delhi is set to host, here is a straightforward guide [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":419823,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[440,284,188,183,185,186,8392,10527,11640,187,184,189,150,182,190],"class_list":["post-419817","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-ai","tag-artificial-intelligence","tag-blockchain-tech","tag-blockchain-technology","tag-crypto-technology","tag-cryptocurrency-technology","tag-generative-ai","tag-large-language-model","tag-llm","tag-metaverse-technology","tag-nft-technology","tag-soul-bound-token","tag-tech","tag-technology","tag-token-technology"],"_links":{"self":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/419817","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/comments?post=419817"}],"version-history":[{"count":1,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/419817\/revisions"}],"predecessor-version":[{"id":419824,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/posts\/419817\/revisions\/419824"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media\/419823"}],"wp:attachment":[{"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/media?parent=419817"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/categories?post=419817"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dripp.zone\/news\/wp-json\/wp\/v2\/tags?post=419817"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}