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一级消防工程师实务p11

详解一级消防工程师实务知识点，助你高效备考！立即学习！

Master AI UGC Ads in 10 Minutes - Full Arcads Tutorial for Beginners

Make UGC Ads the right way with Arcads 👉 https://youricreates.com/Arcads-ai This video contains paid sponsorships and/or affiliate links. If you click a link or sign up, I may earn a commission at no extra cost to you. In this Arcads tutorial I show you how to use Arcads to create realistic AI UGC ads in just a few minutes. You'll pick your actor, add gestures, generate b-roll, customize their voice, and even make them hold or wear your products so your ads look super realistic! for inquiries: youri (at) mediaflow.group

8.03 - Lect 3 - Driven Oscillations With Damping, Steady State Solutions, Resonance

Forced Oscillations with Damping - Steady State Solutions - Amplitude vs Frequency - Resonance - Quality Q - Pendulums - Springs - Air Track - Destructive Resonance - Tacoma Bridge Collapse - Breaking Wine Glass with Sound - Rub wine glass Assignments Lecture 1, 2 and 3: http://freepdfhosting.com/63073d984e.pdf Solutions Lecture 1, 2 and 3: http://freepdfhosting.com/58521402f3.pdf

America's WORST Caving Disasters | Caving Gone Horribly Wrong Marathon #4

Disclaimer: All content in this video is intended for educational purposes only. The real life stories shared are designed to raise awareness about caving, highlighting the potential risks and consequences of taking it lightly. The information and materials used are sourced from public records and are used strictly for educational purposes under YouTube's fair use policy. Viewer discretion is advised, and always ensure you engage in safe, responsible caving practices with proper guidance. In today's video, we will be looking at 15 Horrifying Caving stories that went Horribly Wrong. It's a RECAP of the top stories we've covered so far on the channel. As always, viewer discretion is advised. ---------------------------------------------------------------- #disaster #horrorstories #caverescue

'This is the END for Andrew!' Royal biographer LEAKS new evidence | Daily Expresso

In the most explosive Daily Expresso episode ever, JJ Anisiobi and royal biographer Andrew Lownie unpack former-Prince Andrew's darkest secrets, including explosive, never-before-heard allegations about his sordid behaviour. Andrew Mountbatten Windsor has always denied any wrongdoing. Watch new episodes every weekday at 5pm on YouTube, Apple Podcasts, and Spotify. Andrew Lownie's book Entitled is now available in paperback with an additional chapter: https://www.amazon.co.uk/Entitled-Mountbatten-Windsor-Fergusons-bestselling-devastating/dp/0008775494/ref=tmm_pap_swatch_0 0:00 - Andrew's alleged demands 2:30 - Andrew's behaviour towards flight attendant 4:26 - The Prince's trips abroad 7:16 - Andrew kicked his own dog 13:38 - Royal Family's future Listen on Apple Podcasts: https://podcasts.apple.com/au/podcast/daily-expresso/id1833264730 Listen on Spotify: https://open.spotify.com/show/22VEpSXKvy8Bw3pA1bLkke Read Daily Express: https://www.express.co.uk Like Daily Express on Facebook: https://www.facebook.com/DailyExpress Follow Daily Express on X: https://x.com/Daily_Express Follow Daily Express on Instagram: https://www.instagram.com/dailyexpress/ #news #royalfamily #royals #princeandrew #andrewmountbattenwindsor #dailyexpresso

CNS&AI Module 1 3 2

Learn key concepts in CNS & AI Module 1.3.2. Start exploring now!

Anterior Cheek Filler Tutorial: The Area Most Training Overlooks

Register for my FREE full face assessment webinar here - https://www.profinity.academy/artcodes-web-reg Are your patients still looking tired even after lateral cheek filler? You might be missing the anterior cheek – a commonly overlooked area in most training programs. In this tutorial, Dr. Tim demonstrates step-by-step how to: 🟣Identify the anterior cheek deficiency 🟣Choose safe injection points avoiding the infraorbital artery 🟣Use needle on bone and cannula techniques for stable, natural projection 🟣Create the “pleasant face” effect – making patients look happier, fresher, and more youthful This is real patient treatment planning, not just textbook theory. If you want to elevate your results and learn something most injectors haven’t been taught, this video is for you. Watch now and master the anterior cheek technique!

Lean Manufacturing: VALUE STREAM MAPPING (VSM)

Berisi tentang video pembelajaran tentang VALUE STREAM MAPPING (VSM)

Full Face Dermal Fillers Treatment Demonstration by Dr Tristan Mehta

📱 Follow dr.tristan.m on Instagram Learn more about aesthetic injectables and the style of training at Harley Academy. This full face treatment demonstration led by Dr Tristan Mehta is a great introduction to aesthetic medicine, dermal fillers and the techniques you'll need to learn to become an aesthetic practitioner. The Level 7 Diploma in Botox & Dermal Fillers is the top qualification attainable in the United Kingdom. Our diploma programme gives you an in-depth knowledge of the science, theory and practice of injectable aesthetic treatments. It is a flexible 6-18 month course for medical professionals with 175 hours of guided learning. Find out more about our course and how to enrol: https://cutt.ly/1m12QBB

AI 實測「韭菜收割機」策略，教你如何避開散戶陷阱，年化報酬多賺 7%！ | FinLab 財經實驗室

讓你的 AI 也懂投資：https://www.finlab.finance AI 實測「韭菜收割機」策略，教你如何避開散戶陷阱，年化報酬多賺 7%！ 你是否總覺得一買就跌、一賣就漲？難道散戶真的是股市裡最準的「反指標」嗎？本集節目邀請 Finlab AI 大使 Claude，翻遍 900 筆資料庫，針對台股散戶行為進行深度量化分析 。我們不僅要證明「集保庫存」與「融資水位」的預測威力，更要手把手教你如何結合經典因子，打造出一台真正的「韭菜收割機」！ 【本集精華】 破解 15 年前的研究：散戶現在還是一樣笨嗎？ 集保庫存「變化量」vs「水位」：哪一個才是真指標？ 融資使用率過高的恐怖真相：為什麼它是慢性毒藥？ 實測 AB Test：加入「反韭菜過濾器」，績效竟然提升這麼多！ 【時間戳記】 00:00 台灣散戶每年虧損 5000 億？今天來實測！ 01:20 Finlab 資料庫大公開：130 個欄位抓出散戶 DNA 02:35 什麼是集保庫存？每週一次的台股「人口普查」 03:49 修正股價偏誤：為什麼不能直接看張數？ 05:18 數據打臉！小型股散戶多反而比較會漲？ 06:06 控制市值後真相大白：小型股的動量效應 08:46 關鍵修正：改用「變化量」測量，散戶慘變反指標！ 11:14 視覺化圖表：散戶一衝進去，股票就完蛋 12:54 策略實測：反韭菜策略第一版 (扣除交易成本的挑戰) 15:06 二號因子：融資使用率是貪婪指標還是動量？ 17:53 融資水位過高的真相：剩餘買盤枯竭的訊號 19:50 韭菜收割機合體！為什麼「季調倉」表現最穩？ 21:00 終極大戲：經典因子 + 韭菜過濾器，年化報酬飆至 25%！ 22:33 總結：AI 是工具，人腦才是真正的收割機 讓你的 AI 也懂投資：https://www.finlab.finance #台股 #散戶 #量化交易 #Finlab #反指標 #投資策略 #韭菜收割機 #股票分析 #程式交易 #AI理財

Find YOUR process.

Discord Community: https://discord.gg/X6B83d5YbV My Twitch: https://www.twitch.tv/tysonlibertox Instagram: https://www.instagram.com/tysonliberto TikTok: https://www.tiktok.com/@tysonliberto

Kuliah Tamu Dr. Fitrine Ekawasti, drh., M.Sc - 30 Mei 2026

Divisi Parasitologi Veteriner, Fakultas Kedokteran Hewan, Universitas Airlangga Menyelenggarakan Kuliah Tamu Mata Kuliah Penyakit Parasitik Veteriner Topik : Pengembangan Metode Deteksi Eimeria dan Pemanfaatan Herbal sebagai Antikoksidia pada Ternak 👨‍⚕️ Pembicara : Dr. Fitrine Ekawasti, drh., M.Sc Pusat Riset Veteriner, Organisasi Riset Kesehatan, Badan Riset dan Inovasi Nasional (BRIN) 👩‍🏫 Moderator : Prof. Dr. Endang Suprihati, drh., M.S Divisi Parasitologi Veteriner, Fakultas Kedokteran Hewan, Universitas Airlangga Kami mengundang seluruh mahasiswa S1 smt 4, PPDH dan S2 FKH UNAIR untuk hadir dalam kuliah tamu yang diadakan pada : 🗓️ 30 Mei 2026 ⏰ 9.00 - 11.00 WIB

【4K完整版 】【李珠珢 이주은 】誠意十足的舞蹈，超多小驚喜和誠意，韓籍三本柱合體中場舞《20250427》『Fubon Angels』

韓籍三本柱合體帶來誠意滿滿的精彩舞蹈，不容錯過！快來觀看！

Перевод аудио и видео в текст в 2026 году БЕСПЛАТНО

В этом видео показываю акутальные и бесплатные AI сервисы, которыми сам пользуюсь для транскрибации аудио и видео в текст: как расшифровать файлы, YouTube ролики, Zoom встречи, диктофонные записи и голос в текст с помощью нейросетей. 📌 Ссылки на все сервисы у меня в тг → https://t.me/ai_digitalkir/648 📌 Создание реалистичных AI аватаров, креативных видео и AI ботов → https://digitalkir.ru/ 0:20 все возможности транскрипции 0:52 перевод речи в текст 2:49 расшифровка файлов, ссылок из соцсетей и zoom звонков в текст 5:22 саммари и перевод больших ютюб видео в текст + инфографика и презентации 8:58 локальный Wisper ai для транскрибации любых файлов локально

[4K] 200204 BASS GO BOOM LUCAS 루카스 직캠

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IBCS: A Game Changer

Lifelong air defender, the late US Army Brigadier General Don Fryc, says Integrated Battle Command System (IBCS) is a game changer because military decision-makers will be able to react faster, see more, and save lives. How is this possible? IBCS unifies all available sensors and shooters across the multi-domain battlespace into a single integrated air picture. The system provides increased situational awareness, more effective resource management, and enables integration across coalition partners.

HOW TO STOP YOUR BLOOD SUGAR GOING HIGH DURING WORKOUTS? DIABETES| Phil Graham

#diabeticmuscleandfitness #type1diabetes #diabetesfitnessplans HOW TO STOP YOUR BLOOD SUGAR GOING HIGH DURING WORKOUTS? Diabetes Your blood sugar levels have been sitting perfectly all day. You’ve just dosed your insulin for your pre-training meal and your blood sugars are at an acceptable level before you start training. You finish training only to discover your blood glucose levels have doubled. But, you didn’t eat or drink anything? WTF? What’s the deal? Watch this video to find out! ====== — Access The Fastest Growing Muscle and Fitness Community for People with Diabetes — ■ Join 1000s of other like-minded fitness and strength training fanatics in The Diabetic Muscle & Fitness Training Lab - https://diabeticmuscleandfitness.com/welcome-members/ ■ The Diabetic Muscle & Fitness Guide - https://diabeticmuscleandfitness.com/the-diabetic-muscle-and-fitness-guide-book/ ■ Diabetic Shred Fat loss [112 Day] Diet,Training and Supplement Plan - https://diabeticmuscleandfitness.com/diabetic-shred/ ■ Diabetic Mass Gain [112 Day] Diet,Training and Supplement Plan - https://diabeticmuscleandfitness.com/diabetic-mass/ — Social Media — ■ Instagram - www.instagram.com/diabeticmusclefitness ■ Facebook - www.facebook.com\diabeticmuscleandfitness ■ Join the Facebook Group - www.facebook.com/groups/diabeticmuscleandfitness

[1hr Talk] Intro to Large Language Models

This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm. As of November 2023 (this field moves fast!). Context: This video is based on the slides of a talk I gave recently at the AI Security Summit. The talk was not recorded but a lot of people came to me after and told me they liked it. Seeing as I had already put in one long weekend of work to make the slides, I decided to just tune them a bit, record this round 2 of the talk and upload it here on YouTube. Pardon the random background, that's my hotel room during the thanksgiving break. - Slides as PDF: https://drive.google.com/file/d/1pxx_ZI7O-Nwl7ZLNk5hI3WzAsTLwvNU7/view?usp=share_link (42MB) - Slides. as Keynote: https://drive.google.com/file/d/1FPUpFMiCkMRKPFjhi9MAhby68MHVqe8u/view?usp=share_link (140MB) Few things I wish I said (I'll add items here as they come up): - The dreams and hallucinations do not get fixed with finetuning. Finetuning just "directs" the dreams into "helpful assistant dreams". Always be careful with what LLMs tell you, especially if they are telling you something from memory alone. That said, similar to a human, if the LLM used browsing or retrieval and the answer made its way into the "working memory" of its context window, you can trust the LLM a bit more to process that information into the final answer. But TLDR right now, do not trust what LLMs say or do. For example, in the tools section, I'd always recommend double-checking the math/code the LLM did. - How does the LLM use a tool like the browser? It emits special words, e.g. |BROWSER|. When the code "above" that is inferencing the LLM detects these words it captures the output that follows, sends it off to a tool, comes back with the result and continues the generation. How does the LLM know to emit these special words? Finetuning datasets teach it how and when to browse, by example. And/or the instructions for tool use can also be automatically placed in the context window (in the “system message”). - You might also enjoy my 2015 blog post "Unreasonable Effectiveness of Recurrent Neural Networks". The way we obtain base models today is pretty much identical on a high level, except the RNN is swapped for a Transformer. http://karpathy.github.io/2015/05/21/rnn-effectiveness/ - What is in the run.c file? A bit more full-featured 1000-line version hre: https://github.com/karpathy/llama2.c/blob/master/run.c Chapters: Part 1: LLMs 00:00:00 Intro: Large Language Model (LLM) talk 00:00:20 LLM Inference 00:04:17 LLM Training 00:08:58 LLM dreams 00:11:22 How do they work? 00:14:14 Finetuning into an Assistant 00:17:52 Summary so far 00:21:05 Appendix: Comparisons, Labeling docs, RLHF, Synthetic data, Leaderboard Part 2: Future of LLMs 00:25:43 LLM Scaling Laws 00:27:43 Tool Use (Browser, Calculator, Interpreter, DALL-E) 00:33:32 Multimodality (Vision, Audio) 00:35:00 Thinking, System 1/2 00:38:02 Self-improvement, LLM AlphaGo 00:40:45 LLM Customization, GPTs store 00:42:15 LLM OS Part 3: LLM Security 00:45:43 LLM Security Intro 00:46:14 Jailbreaks 00:51:30 Prompt Injection 00:56:23 Data poisoning 00:58:37 LLM Security conclusions End 00:59:23 Outro Educational Use Licensing This video is freely available for educational and internal training purposes. Educators, students, schools, universities, nonprofit institutions, businesses, and individual learners may use this content freely for lessons, courses, internal training, and learning activities, provided they do not engage in commercial resale, redistribution, external commercial use, or modify content to misrepresent its intent.