<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Beginner&apos;s Corner — The Latent Daily</title><description>AI explained from zero, no jargon required.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/beginners-corner.xml" rel="self" type="application/rss+xml"/><item><title>What is machine learning? A beginner&apos;s guide with everyday examples</title><link>https://thelatentdaily.com/guides/what-is-machine-learning-beginners-guide/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/what-is-machine-learning-beginners-guide/</guid><description>Machine learning explained from zero: how computers learn patterns from examples, the three main types of learning, and where you already use it every day.</description><pubDate>Sun, 18 Oct 2026 05:46:00 GMT</pubDate><category>Beginner&apos;s Corner</category><category>beginners</category><category>machine-learning</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>What is generative AI? Text, images and audio explained simply</title><link>https://thelatentdaily.com/guides/what-is-generative-ai-beginners-guide/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/what-is-generative-ai-beginners-guide/</guid><description>A plain-English introduction to generative AI: how chatbots and image generators create new content, what they are good at, and the mistakes to watch for.</description><pubDate>Sun, 18 Oct 2026 05:45:00 GMT</pubDate><category>Beginner&apos;s Corner</category><category>beginners</category><category>generative-ai</category><category>llms</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>A free learning path to understand AI, from zero to building</title><link>https://thelatentdaily.com/articles/free-learning-path-to-understand-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/free-learning-path-to-understand-ai/</guid><description>A step-by-step path through the best free AI courses — from concepts for beginners to machine learning foundations and hands-on work with language models.</description><pubDate>Sun, 18 Oct 2026 05:40:00 GMT</pubDate><category>Courses &amp; Learning Paths</category><category>courses</category><category>learning-path</category><category>beginners</category><category>free</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>20 AI terms everyone should know, explained in one line each</title><link>https://thelatentdaily.com/articles/ai-terms-everyone-should-know/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-terms-everyone-should-know/</guid><description>From tokens and parameters to RAG, fine-tuning and hallucinations: a quick, plain-English glossary of the AI words you will meet in every news story.</description><pubDate>Sun, 18 Oct 2026 05:36:00 GMT</pubDate><category>Glossary</category><category>glossary</category><category>beginners</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Seven common myths about AI, debunked</title><link>https://thelatentdaily.com/articles/seven-myths-about-ai-debunked/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/seven-myths-about-ai-debunked/</guid><description>No, AI doesn&apos;t look things up in a database, and no, bigger is not always better. Seven widespread misconceptions about today&apos;s AI, and what is actually true.</description><pubDate>Sun, 18 Oct 2026 05:32:00 GMT</pubDate><category>FAQ &amp; Myths</category><category>myths</category><category>beginners</category><category>llms</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to read an AI research paper (and spot the hype)</title><link>https://thelatentdaily.com/articles/how-to-read-an-ai-research-paper/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-read-an-ai-research-paper/</guid><description>A practical method for reading machine learning papers: what to read first, how to judge experiments and benchmarks, and the red flags that signal overclaiming.</description><pubDate>Sun, 18 Oct 2026 05:26:00 GMT</pubDate><category>Research Papers</category><category>research</category><category>papers</category><category>how-to</category><category>benchmarks</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Your first LLM API call: a step-by-step guide in Python</title><link>https://thelatentdaily.com/guides/first-llm-api-call-python-guide/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/first-llm-api-call-python-guide/</guid><description>Set up an API key safely, send your first request to a language model in Python, understand messages, tokens and parameters, and handle errors and costs.</description><pubDate>Sun, 18 Oct 2026 04:53:00 GMT</pubDate><category>APIs &amp; SDKs</category><category>apis</category><category>python</category><category>developers</category><category>tutorial</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to keep up with AI news without drowning</title><link>https://thelatentdaily.com/articles/how-to-keep-up-with-ai-news/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-keep-up-with-ai-news/</guid><description>A sustainable system for following AI: choosing a few trusted sources, filtering hype, reading primary sources and building a weekly routine that fits your goals.</description><pubDate>Sun, 18 Oct 2026 03:04:00 GMT</pubDate><category>Podcasts &amp; Newsletters</category><category>ai-news</category><category>newsletters</category><category>media-literacy</category><category>productivity</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>10 everyday tasks AI does well — and 5 it still gets wrong</title><link>https://thelatentdaily.com/articles/ten-everyday-tasks-ai-does-well-and-five-it-gets-wrong/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ten-everyday-tasks-ai-does-well-and-five-it-gets-wrong/</guid><description>A practical list of everyday tasks where AI assistants genuinely save time, from drafting to explaining, and five common tasks where they still fail and need checking.</description><pubDate>Sun, 18 Oct 2026 02:46:00 GMT</pubDate><category>Listicles</category><category>productivity</category><category>beginners</category><category>tips</category><category>limitations</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>