<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Knowledge &amp; Learning — The Latent Daily</title><description>Guides, explainers, courses and references to understand and use AI.</description><link>https://thelatentdaily.com/</link><language>en-us</language><atom:link href="https://thelatentdaily.com/rss/knowledge-learning.xml" rel="self" type="application/rss+xml"/><item><title>How to summarize long documents with AI without losing the important parts</title><link>https://thelatentdaily.com/guides/how-to-summarize-long-documents-with-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/how-to-summarize-long-documents-with-ai/</guid><description>A step-by-step method to get accurate summaries of reports, contracts and papers from any AI assistant, including how to check the result for missing facts.</description><pubDate>Sun, 18 Oct 2026 05:48:00 GMT</pubDate><category>Guides &amp; Tutorials</category><category>guides</category><category>summarization</category><category>productivity</category><category>prompting</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to transcribe audio on your own computer with Whisper</title><link>https://thelatentdaily.com/guides/transcribe-audio-locally-with-whisper/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/transcribe-audio-locally-with-whisper/</guid><description>Install OpenAI&apos;s open-source Whisper speech recognition model, transcribe recordings offline, choose the right model size and export subtitles in minutes.</description><pubDate>Sun, 18 Oct 2026 05:47:00 GMT</pubDate><category>Guides &amp; Tutorials</category><category>guides</category><category>speech</category><category>local-ai</category><category>open-source</category><category>whisper</category><author>dario_admin@resolvia-crm.tech</author></item><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>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>Few-shot prompting: how to teach an AI model with a handful of examples</title><link>https://thelatentdaily.com/guides/few-shot-prompting-guide/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/few-shot-prompting-guide/</guid><description>Show, don&apos;t tell: how to use examples inside a prompt to get consistent formats, tone and classifications from any language model, with ready-to-use templates.</description><pubDate>Sun, 18 Oct 2026 05:42:00 GMT</pubDate><category>Prompt Engineering</category><category>prompting</category><category>few-shot</category><category>guides</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Chain-of-thought prompting: getting better answers by asking for the reasoning</title><link>https://thelatentdaily.com/guides/chain-of-thought-prompting-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/chain-of-thought-prompting-explained/</guid><description>Why asking a model to reason step by step improves math and logic answers, how reasoning models changed the technique, and when it is not worth the extra tokens.</description><pubDate>Sun, 18 Oct 2026 05:41:00 GMT</pubDate><category>Prompt Engineering</category><category>prompting</category><category>reasoning</category><category>chain-of-thought</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>Learning path for developers who want to build with LLMs</title><link>https://thelatentdaily.com/articles/learning-path-for-developers-building-with-llms/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/learning-path-for-developers-building-with-llms/</guid><description>From your first API call to retrieval, tool use, evaluation and deployment: an ordered path for software developers moving into AI engineering.</description><pubDate>Sun, 18 Oct 2026 05:39:00 GMT</pubDate><category>Courses &amp; Learning Paths</category><category>courses</category><category>learning-path</category><category>developers</category><category>llms</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The annual reports that explain the state of AI</title><link>https://thelatentdaily.com/articles/essential-annual-ai-reports/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/essential-annual-ai-reports/</guid><description>Where to find reliable data on AI progress, investment, energy and policy: a guide to the most useful annual reports and what each one is best for.</description><pubDate>Sun, 18 Oct 2026 05:38:00 GMT</pubDate><category>Books &amp; Reports</category><category>reports</category><category>data</category><category>research</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Five classic books to understand AI properly</title><link>https://thelatentdaily.com/articles/classic-books-to-understand-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/classic-books-to-understand-ai/</guid><description>The textbooks and essays that shaped how researchers think about artificial intelligence, from search and logic to deep learning and reinforcement learning.</description><pubDate>Sun, 18 Oct 2026 05:37:00 GMT</pubDate><category>Books &amp; Reports</category><category>books</category><category>learning</category><category>deep-learning</category><category>reinforcement-learning</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>Parameters, tokens, context windows: the numbers in AI announcements explained</title><link>https://thelatentdaily.com/articles/numbers-in-ai-announcements-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/numbers-in-ai-announcements-explained/</guid><description>What &quot;405B parameters&quot;, &quot;1M-token context&quot; and &quot;$3 per million tokens&quot; really mean, and which numbers actually matter when you compare AI models.</description><pubDate>Sun, 18 Oct 2026 05:35:00 GMT</pubDate><category>Glossary</category><category>glossary</category><category>explainer</category><category>models</category><category>pricing</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Cheat sheet: which kind of AI model to use for which task</title><link>https://thelatentdaily.com/guides/cheat-sheet-choose-the-right-ai-model/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/cheat-sheet-choose-the-right-ai-model/</guid><description>A one-page decision guide: when to use a large model, a small one, a reasoning model, an open-weight model, an embedding model or a specialized model.</description><pubDate>Sun, 18 Oct 2026 05:34:00 GMT</pubDate><category>Cheat Sheets</category><category>cheat-sheet</category><category>models</category><category>decision-guide</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Prompting cheat sheet: 12 patterns that work with any AI assistant</title><link>https://thelatentdaily.com/guides/cheat-sheet-prompting-patterns/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/cheat-sheet-prompting-patterns/</guid><description>Role, context, examples, format, constraints and self-checks: twelve reusable prompt patterns on a single page, each with a short template you can copy.</description><pubDate>Sun, 18 Oct 2026 05:33:00 GMT</pubDate><category>Cheat Sheets</category><category>cheat-sheet</category><category>prompting</category><category>productivity</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>Does AI &quot;understand&quot;? Common questions about language models answered</title><link>https://thelatentdaily.com/articles/does-ai-understand-common-questions-answered/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/does-ai-understand-common-questions-answered/</guid><description>Do chatbots think, remember, learn from you or have opinions? Clear answers to the questions people ask most often about how AI language models work.</description><pubDate>Sun, 18 Oct 2026 05:31:00 GMT</pubDate><category>FAQ &amp; Myths</category><category>faq</category><category>llms</category><category>beginners</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>A short history of AI: from Turing to transformers</title><link>https://thelatentdaily.com/articles/short-history-of-ai-turing-to-transformers/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/short-history-of-ai-turing-to-transformers/</guid><description>Seventy-five years of artificial intelligence in one read: the Dartmouth workshop, two AI winters, the deep learning breakthrough and the arrival of ChatGPT.</description><pubDate>Sun, 18 Oct 2026 05:30:00 GMT</pubDate><category>History &amp; Timeline</category><category>history</category><category>timeline</category><category>explainer</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The deep learning revolution in ten milestones (2012–2022)</title><link>https://thelatentdaily.com/articles/deep-learning-revolution-ten-milestones/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/deep-learning-revolution-ten-milestones/</guid><description>AlexNet, word2vec, GANs, ResNet, AlphaGo, transformers, BERT, GPT-3, AlphaFold and ChatGPT: the ten results that turned deep learning into today&apos;s AI.</description><pubDate>Sun, 18 Oct 2026 05:29:00 GMT</pubDate><category>History &amp; Timeline</category><category>history</category><category>deep-learning</category><category>timeline</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The math behind AI: what you actually need to know</title><link>https://thelatentdaily.com/guides/math-you-need-for-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/math-you-need-for-ai/</guid><description>Linear algebra, calculus, probability and statistics: which parts of math matter for understanding and building AI, explained with intuition first.</description><pubDate>Sun, 18 Oct 2026 05:28:00 GMT</pubDate><category>Math for AI</category><category>math</category><category>learning</category><category>machine-learning</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Gradient descent explained with one simple example</title><link>https://thelatentdaily.com/guides/gradient-descent-explained-simple-example/</link><guid isPermaLink="true">https://thelatentdaily.com/guides/gradient-descent-explained-simple-example/</guid><description>The algorithm that trains almost every AI model, explained with a hiker in the fog and a few lines of Python: gradients, learning rates and why training can fail.</description><pubDate>Sun, 18 Oct 2026 05:27:00 GMT</pubDate><category>Math for AI</category><category>math</category><category>gradient-descent</category><category>machine-learning</category><category>python</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>The Adam optimizer explained: the algorithm that trains most neural networks</title><link>https://thelatentdaily.com/research/adam-optimizer-paper-explained/</link><guid isPermaLink="true">https://thelatentdaily.com/research/adam-optimizer-paper-explained/</guid><description>Adam combined momentum with per-parameter learning rates and became the default way to train deep learning models. How it works, why it won and its known pitfalls.</description><pubDate>Sun, 18 Oct 2026 05:22:00 GMT</pubDate><category>Machine Learning</category><category>research</category><category>optimization</category><category>deep-learning</category><category>adam</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>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 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>The skills that matter in an AI workplace — and how to build them</title><link>https://thelatentdaily.com/articles/skills-to-stay-relevant-in-the-age-of-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/skills-to-stay-relevant-in-the-age-of-ai/</guid><description>AI fluency, judgment, domain expertise, communication and learning agility: the skills that matter as AI changes work, and practical ways to build each one.</description><pubDate>Sun, 18 Oct 2026 04:20:00 GMT</pubDate><category>Jobs &amp; Future of Work</category><category>future-of-work</category><category>skills</category><category>careers</category><category>learning</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>An AI video workflow for creators: from script to publish</title><link>https://thelatentdaily.com/articles/ai-video-workflow-for-creators/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/ai-video-workflow-for-creators/</guid><description>A step-by-step workflow for YouTubers and marketers using AI for scripting, footage, voiceover, editing, captions and thumbnails — with disclosure and rights checks.</description><pubDate>Sun, 18 Oct 2026 03:47:00 GMT</pubDate><category>Film &amp; Video</category><category>video</category><category>creators</category><category>youtube</category><category>how-to</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to plan a trip with AI: a step-by-step guide</title><link>https://thelatentdaily.com/articles/how-to-plan-a-trip-with-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-plan-a-trip-with-ai/</guid><description>Use AI assistants to choose destinations, build itineraries, budget, pack and handle language barriers — with prompts to copy and the checks that prevent travel mishaps.</description><pubDate>Sun, 18 Oct 2026 03:25:00 GMT</pubDate><category>Travel &amp; Hospitality</category><category>travel</category><category>how-to</category><category>prompts</category><category>consumers</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to use AI in your job search — without sounding like everyone else</title><link>https://thelatentdaily.com/articles/how-to-use-ai-in-your-job-search/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-use-ai-in-your-job-search/</guid><description>Use AI to analyze job postings, tailor your CV, write cover letters, prepare for interviews and practice negotiation, while keeping applications honest and personal.</description><pubDate>Sun, 18 Oct 2026 03:19:00 GMT</pubDate><category>HR &amp; Recruiting</category><category>jobs</category><category>careers</category><category>how-to</category><category>prompts</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to launch an AI customer support chatbot: a step-by-step guide</title><link>https://thelatentdaily.com/articles/how-to-launch-an-ai-customer-support-chatbot/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-launch-an-ai-customer-support-chatbot/</guid><description>Plan, build, test and launch an AI support assistant: choosing use cases, preparing the knowledge base, setting guardrails and escalation, and measuring results.</description><pubDate>Sun, 18 Oct 2026 03:17:00 GMT</pubDate><category>Customer Service</category><category>customer-service</category><category>chatbots</category><category>how-to</category><category>rag</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The &quot;godfathers of deep learning&quot;: Hinton, LeCun and Bengio</title><link>https://thelatentdaily.com/articles/godfathers-of-deep-learning-hinton-lecun-bengio/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/godfathers-of-deep-learning-hinton-lecun-bengio/</guid><description>Who Geoffrey Hinton, Yann LeCun and Yoshua Bengio are, the ideas that won them the 2018 Turing Award, and why the three now disagree sharply about the risks of AI.</description><pubDate>Sun, 18 Oct 2026 03:12:00 GMT</pubDate><category>People / Who&apos;s Who</category><category>geoffrey-hinton</category><category>yann-lecun</category><category>yoshua-bengio</category><category>deep-learning</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Women who shaped artificial intelligence</title><link>https://thelatentdaily.com/articles/women-who-shaped-artificial-intelligence/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/women-who-shaped-artificial-intelligence/</guid><description>From Ada Lovelace to Fei-Fei Li, Daphne Koller, Joy Buolamwini and Timnit Gebru: the researchers and leaders whose work on data, algorithms and ethics shaped modern AI.</description><pubDate>Sun, 18 Oct 2026 03:11:00 GMT</pubDate><category>People / Who&apos;s Who</category><category>women-in-ai</category><category>fei-fei-li</category><category>ai-ethics</category><category>history</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to get the most out of an AI conference</title><link>https://thelatentdaily.com/articles/how-to-get-the-most-out-of-an-ai-conference/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-get-the-most-out-of-an-ai-conference/</guid><description>Practical advice for attending AI research and industry conferences: planning sessions, reading posters, networking, presenting your work and following up afterwards.</description><pubDate>Sun, 18 Oct 2026 03:07:00 GMT</pubDate><category>Events &amp; Conferences</category><category>conferences</category><category>networking</category><category>careers</category><category>how-to</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to start a career in AI: a realistic roadmap</title><link>https://thelatentdaily.com/articles/how-to-start-a-career-in-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-start-a-career-in-ai/</guid><description>A step-by-step roadmap into AI careers: foundations, courses, projects, portfolios, open source, networking and job applications — for students and career changers.</description><pubDate>Sun, 18 Oct 2026 03:05:00 GMT</pubDate><category>Jobs &amp; Careers</category><category>careers</category><category>learning</category><category>portfolio</category><category>how-to</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>AI podcasts and newsletters worth your time: a curated guide</title><link>https://thelatentdaily.com/articles/best-ai-podcasts-and-newsletters-guide/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/best-ai-podcasts-and-newsletters-guide/</guid><description>A curated guide to long-running AI podcasts and newsletters for different audiences — researchers, builders, business readers and beginners — and how to pick yours.</description><pubDate>Sun, 18 Oct 2026 03:03:00 GMT</pubDate><category>Podcasts &amp; Newsletters</category><category>podcasts</category><category>newsletters</category><category>learning</category><category>recommendations</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>The best YouTube channels and video courses to learn AI</title><link>https://thelatentdaily.com/articles/best-youtube-channels-to-learn-ai/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/best-youtube-channels-to-learn-ai/</guid><description>From 3Blue1Brown&apos;s visual neural network series to Andrej Karpathy&apos;s Zero to Hero and university lectures: the best free videos for learning AI, by level.</description><pubDate>Sun, 18 Oct 2026 03:02:00 GMT</pubDate><category>YouTube &amp; Video Picks</category><category>youtube</category><category>learning</category><category>courses</category><category>deep-learning</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><item><title>Famous AI competitions that changed the field</title><link>https://thelatentdaily.com/articles/famous-ai-competitions-that-changed-the-field/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/famous-ai-competitions-that-changed-the-field/</guid><description>From the DARPA Grand Challenge and the Netflix Prize to ImageNet, CASP and the ARC Prize: competitions that accelerated AI progress, and what made them so influential.</description><pubDate>Sun, 18 Oct 2026 02:58:00 GMT</pubDate><category>Hackathons &amp; Competitions</category><category>competitions</category><category>benchmarks</category><category>history</category><category>research</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>How to compete in Kaggle competitions and AI hackathons</title><link>https://thelatentdaily.com/articles/how-to-win-at-kaggle-and-ai-hackathons/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-win-at-kaggle-and-ai-hackathons/</guid><description>A practical guide to machine learning competitions and hackathons: choosing events, baselines, validation, teamwork, presenting projects and learning from winners.</description><pubDate>Sun, 18 Oct 2026 02:57:00 GMT</pubDate><category>Hackathons &amp; Competitions</category><category>kaggle</category><category>hackathons</category><category>competitions</category><category>how-to</category><author>dario_admin@resolvia-crm.tech</author></item><item><title>Prompt of the day: the &quot;critique, then improve&quot; prompt</title><link>https://thelatentdaily.com/articles/prompt-of-the-day-critique-and-improve/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/prompt-of-the-day-critique-and-improve/</guid><description>A reusable prompt that makes AI review your draft against clear criteria before rewriting it — with the template, examples for emails, essays and code, and variations.</description><pubDate>Sun, 18 Oct 2026 02:52:00 GMT</pubDate><category>Prompt of the Day</category><category>prompts</category><category>writing</category><category>editing</category><category>prompt-engineering</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><item><title>How to judge AI predictions and forecasts</title><link>https://thelatentdaily.com/articles/how-to-judge-ai-predictions-and-forecasts/</link><guid isPermaLink="true">https://thelatentdaily.com/articles/how-to-judge-ai-predictions-and-forecasts/</guid><description>AI predictions range from &quot;AGI next year&quot; to &quot;it&apos;s all hype&quot;. How to evaluate forecasts, what forecasting research teaches, and the warning signs of unreliable claims.</description><pubDate>Sun, 18 Oct 2026 02:41:00 GMT</pubDate><category>Predictions &amp; Trends</category><category>predictions</category><category>forecasting</category><category>media-literacy</category><category>agi</category><author>dario_admin@resolvia-crm.tech</author></item></channel></rss>