<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Explainers — The Latent Daily</title><description>How things work under the hood, from transformers to diffusion.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/explainers.xml" rel="self" type="application/rss+xml"/><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>How transformers work, explained without the math</title><link>https://thelatentdaily.com/articles/how-transformers-work-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-transformers-work-explained/</guid><description>The transformer architecture behind ChatGPT, Claude and Gemini, explained step by step: tokens, embeddings, attention and why it changed AI in 2017.</description><pubDate>Sun, 18 Oct 2026 05:44:00 GMT</pubDate><category>Explainers</category><category>explainer</category><category>transformer</category><category>attention</category><category>llms</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How diffusion models turn noise into images</title><link>https://thelatentdaily.com/articles/how-diffusion-models-generate-images/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-diffusion-models-generate-images/</guid><description>Stable Diffusion, FLUX and most image generators rely on diffusion. A clear explanation of forward noising, learned denoising, text guidance and latent space.</description><pubDate>Sun, 18 Oct 2026 05:43:00 GMT</pubDate><category>Explainers</category><category>explainer</category><category>diffusion</category><category>image-generation</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>What are AI agents? How they plan, use tools and take actions</title><link>https://thelatentdaily.com/articles/what-are-ai-agents-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/what-are-ai-agents-explained/</guid><description>AI agents go beyond chat: they plan, call tools, browse and act toward a goal. How the agent loop works, the main design patterns, real uses and the risks.</description><pubDate>Sun, 18 Oct 2026 04:55:00 GMT</pubDate><category>Agents &amp; Agentic AI</category><category>agents</category><category>agentic-ai</category><category>tool-use</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How retrieval-augmented generation (RAG) works, step by step</title><link>https://thelatentdaily.com/guides/how-retrieval-augmented-generation-works/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/how-retrieval-augmented-generation-works/</guid><description>RAG lets AI answer from your documents. Each stage explained: ingestion, chunking, embeddings, retrieval, reranking, prompting and evaluation, with practical tips.</description><pubDate>Sun, 18 Oct 2026 04:51:00 GMT</pubDate><category>RAG, Search &amp; Vector DBs</category><category>rag</category><category>embeddings</category><category>vector-databases</category><category>developers</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>GPU vs TPU vs NPU: the AI chips explained</title><link>https://thelatentdaily.com/articles/gpu-vs-tpu-vs-npu-ai-chips-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/gpu-vs-tpu-vs-npu-ai-chips-explained/</guid><description>Why AI runs on GPUs, what Google&apos;s TPUs and the NPUs in laptops and phones do differently, and how memory, bandwidth and interconnects shape AI performance.</description><pubDate>Sun, 18 Oct 2026 04:39:00 GMT</pubDate><category>Chips &amp; GPUs</category><category>chips</category><category>gpus</category><category>tpu</category><category>npu</category><category>hardware</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>What is AI alignment? The problem of making AI do what we intend</title><link>https://thelatentdaily.com/articles/what-is-ai-alignment-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/what-is-ai-alignment-explained/</guid><description>Why it is hard to make AI systems pursue the goals we actually want, the main techniques used today — from RLHF to constitutional AI — and the open research problems.</description><pubDate>Sun, 18 Oct 2026 04:28:00 GMT</pubDate><category>AI Safety &amp; Alignment</category><category>ai-safety</category><category>alignment</category><category>rlhf</category><category>research</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Algorithmic bias explained: how AI systems end up unfair</title><link>https://thelatentdaily.com/articles/algorithmic-bias-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/algorithmic-bias-explained/</guid><description>Where AI bias comes from — data, labels, design and deployment — with landmark examples such as Gender Shades, and the main ways to measure and reduce it.</description><pubDate>Sun, 18 Oct 2026 04:26:00 GMT</pubDate><category>Ethics &amp; Bias</category><category>bias</category><category>fairness</category><category>ethics</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Essential AI talks and lectures everyone should watch</title><link>https://thelatentdaily.com/articles/essential-ai-talks-and-lectures-to-watch/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/essential-ai-talks-and-lectures-to-watch/</guid><description>A curated list of influential AI talks and lectures — on how language models work, the history of deep learning, AI safety and the future of work — and what each teaches.</description><pubDate>Sun, 18 Oct 2026 03:01:00 GMT</pubDate><category>YouTube &amp; Video Picks</category><category>talks</category><category>lectures</category><category>learning</category><category>recommendations</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>