Qual a diferença entre Inteligência Artificial, Machine Learning e Deep Learning?

Neste vídeo trato das diferenças que existem entre as tecnologias de Inteligência Artificial, Aprendizado de Máquina e Aprendizado Profundo, além de abordar as aplicações de cada tecnologia.

Leia também: O que é Machine Learning? http://www.bosontreinamentos.c....om.br/inteligencia-a

Ajude o canal adquirindo meus cursos na Udemy:
Bancos de Dados com MySQL Básico: https://bit.ly/35QdWE4
Lógica de Programação com Português Estruturado: https://bit.ly/3QKPn22
Programação em Python do Zero: https://bit.ly/python-boson

Adquira também livros e outros itens na loja da Bóson Treinamentos na Amazon e ajude o canal a se manter e crescer:
https://www.amazon.com.br/shop/bosontreinamentos

Seja membro deste canal e ganhe benefícios:
https://www.youtube.com/channe....l/UCzOGJclZQvPVgYZIw

Contribua com a Bóson Treinamentos!:
http://www.bosontreinamentos.com.br/contribuir/

Por Fábio dos Reis
Bóson Treinamentos: http://www.bosontreinamentos.com.br
Instagram: https://www.instagram.com/bosontreinamentos/
Linkedin: https://www.linkedin.com/in/f%....C3%A1bio-dos-reis-06
Quora: pt.quora.com/profile/Fábio-dos-Reis
Pinterest: https://br.pinterest.com/bosontreina/

Outros projetos do autor:
Diário do Naturalista: http://www.diariodonaturalista.com.br
Bóson Ciências e Cultura: https://www.youtube.com/bosonciencias
Numismática e Finanças Pessoais: https://www.diarionumismatico.com.br

#bosontreinamentos #inteligenciaartificial #machinelearning

Welcome to Intro to Deep Learning! This course is for anyone who wants to become a deep learning engineer. I'll take you from the very basics of deep learning to the bleeding edge over the course of 4 months. In this video, we’ll predict an animal’s body weight given it’s brain weight using linear regression via 10 lines of Python. I’ll have a live session every Wednesday at 10 AM PST that covers my weekly video topics in depth. You can click on the little notification bell next to the subscribe button to get an email notification whenever I’m live. And each session is recorded and uploaded to this channel in case you miss it. This Youtube content is 100% created by me (from the writing to the editing, etc.) , it’ll all be released on my channel, and it’s totally free.

I am also very proud and excited to announce my new, exclusive partnership with Udacity. Together, we’re offering the new Deep Learning Nanodegree Foundation program. If you want to take your game to the next level, this is for you! Especially since Udacity will be providing guaranteed admission to their groundbreaking Artificial Intelligence and Self-Driving Car Nanodegree programs to all graduates. They’re offering discounted limited-time pricing, so enroll now to enjoy the unique projects, program sets, and expert reviews. Plus, their community is amazing, so don’t forget to join the Slack channel after you enroll (I’ll be in there too!) And hey, I’m getting paid a small royalty from each enrollment, so let’s do this together!

Link to the Udacity nanodegree:
https://www.udacity.com/course..../deep-learning-nanod

Please Subscribe! And like. And comment. That’s what keeps me going.

This weeks coding challenge (these weekly challenges are not related to the Udacity nanodegree projects, those are additional):
https://github.com/llSourcell/....linear_regression_de

Mick’s winning code:
https://github.com/mickvanhulst/q_learning

Vishal’s runner-up code:
https://github.com/erilyth/Q-Learning-on-Mazes

More learning resources:
http://machinelearningmastery.....com/a-tour-of-machin
https://docs.microsoft.com/en-....us/azure/machine-lea
https://www.toptal.com/machine....-learning/machine-le
https://onlinecourses.science.....psu.edu/stat501/node
http://machinelearningmastery.....com/simple-linear-re

Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/

The vast majority of this course will use Tensorflow. It's just this first example that's using scikit-learn.

And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Follow me:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz

🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=28August2023LGLoopEvening1-lLI4gjk24UE&utm_medium=Descriptionff&utm_source=youtube
🔥 AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=28August2023LGLoopEvening1-lLI4gjk24UE&utm_medium=Descriptionff&utm_source=youtube

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#ChatGPTExpertCourse #ChatGPT Expert #ChatGPT #ChatGPTForBeginners #ChatGPT #Chat_GPT #ChatGPTTutorial #ChatGPTForBeginners #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

👉 Enroll Now: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=28August2023LGLoopEvening1-lLI4gjk24UE&utm_medium=Description&utm_source=youtube

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

👉 Listen to what millions of users say about our courses! https://www.simplilearn.com/reviews?utm_campaign=25August2023LGLoopEvening1-lLI4gjk24UE&utm_medium=Description&utm_source=youtube

Explore our Free Courses by Simplilearn: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=28August2023LGLoopEvening1-lLI4gjk24UE&utm_medium=Description&utm_source=youtube

For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

February 6, 2026
This lecture covers:
• A randomized controlled trial examining the impact of AI-mediated feedback on students' disciplinary writing performance and learning
• An introduction to and evaluation of FeedbackWriter
• How knowledge engineering can enhance cognitive fidelity and enable reliable feedback generation

To follow along with the seminar schedule, visit: https://hci.stanford.edu/

Xu Wang is an Assistant Professor in Computer Science and Engineering and the School of Information (By courtesy) at the University of Michigan.

https://github.com/aamini/introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning - aamini/introtodeeplearning

Powered by VoiceFeed.
https://voicefeed.web.app?utm_source=youtube_githubtrenddaily&utm_medium=podcast

"🔥 Large Language Models (LLMs) Course with Generative AI : https://www.edureka.co/generative-ai-llms-course

In this video on ""What is LLM"" we'll dive into large language models (LLMs), powerful AI systems trained on massive text datasets to understand and generate human-like language. We'll introduce the concept of LLMs, explain how they leverage deep learning and self-attention mechanisms, and Discover examples of large language models like Google's LLaVA, OpenAI's GPT-3, and Microsoft's Turing-NLG, which power LLM's capabilities. We'll explore their impressive capabilities in tasks like text generation, summarization, question answering, and translation, as well as their real-world applications across industries.

In this informative video on What is LLM, we will cover the following Topics:

✅ 00:00 - Introduction to Large Language Model
✅ 01:03 - What is LLMs?
✅ 01:48 - Examples of LLMs
✅ 02:01 - Applications of LLMs
✅ 02:36 - How does LLM works?
✅ 03:57 - Understand Working of LLM With an Example

"
"✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

📝Feel free to share your comments below.📝

𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 Large Language Models (LLMs) Course with Generative AI : https://rb.gy/fg3mdt
🌕 Data Science with Python Certification Course: https://bitly.ws/37EhS
🔵 Data Science with R Programming Certification Training Course : https://bitly.ws/37Eki
🌕 ChatGPT Complete Course : https://rb.gy/ttjnhl

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🌕 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🔵 Advanced Certificate Program in Cloud Computing with E&ICT Academy, IIT Guwahati: https://bit.ly/43vmME8

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

- - - - - - - - - - - - - -

About Large Language Models (LLMs) Course with Generative AI

Edureka's course on Large Language Models with Generative AI offers a transformative journey into the intricacies of LLMs. Delve deep into content generation and application development, gaining the expertise to create innovative solutions. Enroll now to become a trailblazer in this rapidly evolving domain.
- - - - - - - - - - - - - -

Who should go for this course?
This course on Large Language Models is suitable for data scientists, software developers, and AI researchers aiming to advance their expertise in natural language processing and utilize LLMs in their projects. Additionally, professionals in content creation, marketing, and customer service seeking to leverage LLMs for text generation and analysis can benefit from this course.

- - - - - - - - - - - - - -
What are the Prerequisites for this course?
The prerequisites for this course on Large Language Models include a basic understanding of machine learning concepts, proficiency in programming languages such as Python, and familiarity with natural language processing fundamentals. Additionally, knowledge of deep learning frameworks like TensorFlow or PyTorch would be beneficial for participants.

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#Edureka #largelanguagemodel #llm #llmmachinelearning #generativeai #edurekacourse"

🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=Ot1Q1fuLNuw&utm_medium=Lives&utm_source=Youtube
🔥Professional Certificate Program in Generative AI and Machine Learning - IITG (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=Ot1Q1fuLNuw&utm_medium=Lives&utm_source=Youtube
🔥Advanced Executive Program In Applied Generative AI - https://www.simplilearn.com/applied-generative-ai-course?utm_campaign=Ot1Q1fuLNuw&utm_medium=Lives&utm_source=Youtube

This Generative AI Full Course 2025 by Simplilearn provides a structured learning path, starting with the fundamentals of Generative AI and a detailed roadmap to mastering it. Learners explore top AI technologies, including DeepSeek R1, Deep Learning, and Search GPT, followed by essential tools like LangChain. The course dives into Generative Adversarial Networks (GANs), Transformers, and Long Short-Term Memory (LSTM) networks, forming the foundation of modern AI models. It then introduces Large Language Models (LLMs), Machine Learning concepts, and Reinforcement Learning, leading into practical applications like ChatGPT analysis and OpenAI Sora. Advanced topics include LLM benchmarking, Hugging Face tutorials, and OpenAI's ChatGPT O1 model. Practical insights into Generative AI tools for job interviews, Agentic AI, and AI monetization strategies help learners stay ahead in the field. The course concludes with a look at Google Quantum AI and Machine Learning interview preparation, ensuring a strong grasp of both theoretical and applied AI concepts.

Following are the topics covered in the Generative AI Full Course 2025:

00:00:00 Introduction to Gen AI Full Course 2025
00:04:37 What is Gen AI ?
00:05:22 Gen AI Tutorial for beginners
00:16:01 Roadmap to become a Gen AI Engineer
00:25:51 Introduction to LLM
01:27:04 What is Machine Learning?
02:23:36 Machine Learning Tutorial
04:28:59 Reinforcement Learning
04:45:04 Deepseek r1
04:52:03 Deep Learning
05:00:20 Search GPT
05:02:35 Langchain
05:59:10 Generative Adversarial Tutorial
06:08:32 What are Gans
06:09:33 Transformers in AI
06:22:02 LSTM
06:41:53 CHatgpt analyse
06:52:49 Openai sora
07:01:42 LLM Benchmarkeing
07:52:25 Hugging Face and its tutorial
08:07:49 Open ai chatgpt o1 model
08:44:51 Agentic AI
08:53:14 Google Quantam AI
08:58:23 Gen ai tools for job interview
10:58:44 Deep learning Interview questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Artificial Intelligence training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULa5a

#genai #generativeai #artificialintelligence #ai #machinelearning #llm #simplilearn #2025

➡️ About Professional Certificate Program in Generative AI and Machine Learning

Dive into the future of AI with our Generative AI & Machine Learning course, in collaboration with E&ICT Academy, IIT Guwahati. Learn tools like ChatGPT, OpenAI, Hugging Face, Python, and more. Join masterclasses led by IITG faculty, engage in hands-on projects, and earn Executive Alumni Status.

Key Features:
✅ Program completion certificate from E&ICT Academy, IIT Guwahati
✅ Curriculum delivered in live virtual classes by seasoned industry experts
✅ Exposure to the latest AI advancements, such as generative AI, LLMs, and prompt engineering
✅ Interactive live-virtual masterclasses delivered by esteemed IIT Guwahati faculty
✅ Opportunity to earn an 'Executive Alumni Status' from E&ICT Academy, IIT Guwahati
✅ Eligibility for a campus immersion program organized at IIT Guwahati
✅ Exclusive hackathons and “ask-me-anything” sessions by IBM
✅ Certificates for IBM courses and industry masterclasses by IBM experts
✅ Practical learning through 25+ hands-on projects and 3 industry-oriented capstone projects
✅ Access to a wide array of AI tools such as ChatGPT, Hugging Face, DALL-E 2, Midjourney and more
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered:
✅ Generative AI
✅ Prompt Engineering
✅ Chatbot Development
✅ Supervised and Unsupervised Learning
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Ensemble Methods
✅ Deep Learning
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Machine Learning Algorithms
✅ Speech Recognition
✅ Statistics

Learning Path:
✅ Program Induction
✅ Programming Fundamentals
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning with TensorFlow (IBM)
✅ Deep Learning Specialization
✅ Essentials of Generative AI, Prompt Engineering & ChatGPT
✅ Advanced Generative AI
✅ Capstone
Electives:
✅ ADL & Computer Vision
✅ NLP and Speech Recognition
✅ Reinforcement Learning
✅ Academic Masterclass
✅ Industry Masterclass

👉 Learn More At: https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=Ot1Q1fuLNuw&utm_medium=Lives&utm_source=Youtube

Nick agreed to personally set up your Hermes agent on Orgo in a 15 min call: https://startup-ideas-pod.link/orgo_ai

I sit down with Nick from Orgo to break down exactly how to run a one-person AI agent business that can realistically clear a few million dollars a year. Nick walks through the offer, the verticals worth chasing, the full software stack, and the live setup of an agent that manages other agents. We focus on tactics over theory, with specific tools, pricing, and the playbook for landing customers as a solopreneur. By the end, anyone with solid AI fluency will have a clear path from offer design to fulfillment.

Timestamps
00:00 – Intro
02:54 – Designing the AI Agent Business Offer
06:38– Selling an AI Employee, Not an Agent
07:26 – Industries to Target (and Two to Avoid)
14:54 – Content Is Overpowered and How to Get Customers
17:51 – The Customer-Facing Tool Stack
20:49 – Building Agents Stack
25:51 – Model Picks: GPT 5.5, GLM 5.1, Kimmy, Opus 4.7
27:08 – Nick’s Stack
28:14 – Why Obsidian Is the Second Brain Layer
30:22 – Live Walkthrough: Spinning Up a Cloud Computer in Orgo
33:53 – Cloud Computers vs. Mac Minis
38:37 – Building Agents and Structuring Workspaces for Customers
43:56 – Watchdogs, Observability, and Reliability
45:28 – Closing Thoughts on the Solopreneur Era

Key Points

* Sell unlimited agents, unlimited usage, and unlimited support to remove friction; most customers actually use one to three agents.
* Avoid healthcare and finance to start; focus on legacy verticals like marketing, law, insurance, manufacturing, wholesale, and real estate.
* OpenClaw agents go for around 5K a month; Hermes agents can go for 10K a month.
* The full stack: Granola, Trello, Loom, Superhuman, Asana, Codex, Hermes, Orgo, Composio, Agent Mail, and Obsidian.
* GPT 5.5 is the recommended default model for tool calling; GLM 5.1 and Kimmy work for lighter tasks; Opus 4.7 fits long-horizon coding.
* Use agents to set up other agents — pair Cloud Code or Codex with MCPs like Perplexity, Context7, and X MCP for live docs.

Numbered Section Summaries

1. The Solopreneur Agent Opportunity I open with Nick's premise that AI fluency itself is a rare, monetizable skill. Roughly 99% of the market sits behind on AI, so anyone who can stand up Claude Code, Hermes, or OpenClaw has leverage that businesses will pay real money for. The episode is framed as a tactical A-to-Z playbook rather than an idea-of-the-week pitch.

2. The Anti-Friction Offer Nick argues the winning offer is unlimited agents, unlimited usage, unlimited monitoring, security, and ongoing changes for around 5K a month. The trick is that customers think they need 10 or 100 agents, while in reality one to three handle the bulk of the work. Removing token-talk and credit-talk preserves the magic and shortens time to yes.

3. Picking the Right Vertical Healthcare and finance get flagged as too regulated for a solo operator. Instead, Nick recommends marketing agencies, law firms, insurance agencies, manufacturers, wholesalers, and real estate. These are large legacy industries hungry to become AI native, with executive-level pain that abstracts cleanly across companies.

4. Niching Down the Right Way I push on the "diverge then converge" framework: try several verticals, see where the market pulls you, then go sub-niche by geography or by professional type (commercial real estate in Florida, matrimonial law, etc.). Going specific lets you craft an offer that makes a buyer feel personally addressed.

7. Models and Why They Matter GPT 5.5 is the recommended default for Hermes and OpenClaw because it is efficient with tool calls and the OpenAI paid plan is generous. GLM 5.1 from Z.AI is the top open-source pick for cheaper light tasks, with Kimmy close behind.

8. Live Build, Reliability, and Closing Nick walks through Orgo live: a workspace per customer, a cloud computer per agent, and a Telegram-controlled meta-agent that can install Hermes, manage 27 VMs, and patch problems on the fly. We cover MCPs that give agents up-to-date setup context the value of spawning parallel sub-agents for research, and the importance of watchdogs and email-based observability so issues get caught before customers feel them.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/

LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/

The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/

FIND NICK ON SOCIAL
Youtube: https://www.youtube.com/@nickvasiles
Instagram: https://www.instagram.com/nickvasilescu/
Personal Website: https://www.nickvasilescu.com/

Update: check out my latest video - the most realistic simulated movie to-date of the supermassive black hole in the centre of our own Milky Way galaxy! [https://youtu.be/wU3vRKczamc]

On smartphones this video is best viewed using the youtube app. Try google cardboard on your smartphone with a VR headset for the most immersive experience (smartphone with gyro sensor required). For desktop computers try viewing in Google Chrome browser or Firefox.

If you're in a hurry, jump forward to 2:00 where it gets really interesting.

Science note: this is a real physics calculation (not simulation or rendering) I did of what we would actually see if we were unfortunate enough to fall into a black hole, from far away all the way up to the event horizon! Each frame is rendered at a resolution of 8K and the video plays at 60fps. Calculations are performed using my own general relativistic ray tracing and radiative transfer computer code, 'BHOSS' (Younsi et al. 2017), i.e., solving the equations of motion of light/photons (null geodesics) for a given spacetime, in this case a spinning black hole (Kerr).

For now there are no Doppler or gravitational redshifting effects for the sake of clarity. I've omitted an accretion disk and proper radiative transport of light as it distracts from the gravitational lensing of the starlight and the black hole's shadow. Including an accretion disk or even a torus calculated from a proper general relativistic magnetohydrodynamical computer simulation of gas falling onto a black hole is also possible and I may do this in the future.

In this movie the black hole is spinning rapidly (almost at the maximum possible rate). The starfield is taken from real observational data. The movie starts one thousand gravitational radii away from the black hole and ends at the event horizon, where eventually all light focuses into a single point and vanishes. Try looking around as you approach, or you'll miss it!

I made this VR movie to promote the "Einstein Inside" exhibition touring Germany, where it was first shown in November and December at the Goethe University of Frankfurt. Copyright: Ziri Younsi.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Movie produced from calculations utilising my general-relativistic radiation transfer code BHOSS, e.g., Ziri Younsi et al. 2012, 2016, 2020:
https://ui.adsabs.harvard.edu/....abs/2012A%26A...545A
https://ui.adsabs.harvard.edu/....abs/2016PhRvD..94h40
https://ui.adsabs.harvard.edu/....abs/2020IAUS..342...

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=Descriptionff&utm_source=youtube
🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootcamp?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=Descriptionff&utm_source=youtube

This Data Science tutorial will help you in understanding what is Data Science, why we need Data Science, the prerequisites for learning Data Science, what a Data Scientist does, the Data Science lifecycle with an example, and career opportunities in the Data Science domain. You will also learn the differences between Data Science and Business intelligence. The role of a data scientist is one of the sexiest jobs of the century. Every day, companies are looking out for more and more skilled data scientists and studies show that there is expected to be a continued shortfall in qualified candidates to fill the roles. So, let us dive deep into Data Science and understand what is Data Science all about.

🔥 Enroll for FREE Data Science Course & Get your Completion Certificate: https://www.simplilearn.com/getting-started-data-science-with-python-skillup?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=Description&utm_source=youtube

This Data Science tutorial for beginners will cover the following topics:
Start (0:00)
1. Need for Data Science? ( 00:50 )
2. What is Data Science? ( 05:55 )
3. Data Science vs Business intelligence ( 11:44 )
4. Prerequisites for learning Data Science ( 16:36 )
5. What does a Data scientist do? ( 24:31 )
6. Data Science life cycle with use case ( 30:17 )
7. Demand for Data scientists ( 47:17 )

To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

📚Data Science Article: https://bit.ly/30cYbpI

Download the Data Science career guide to explore and step into the exciting world of data, and follow the path towards your dream career: https://www.simplilearn.com/data-science-career-guide-pdf?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=description&utm_source=youtube

You can also go through the Slide here: https://goo.gl/3d2pNv

Read the full article here: https://www.simplilearn.com/career-in-data-science-ultimate-guide-article?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=Description&utm_source=youtube

Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#DataScienceForBeginners #WhatIsDataScience #IntroductionToDataScience #DataScienceTutorial #DataScientist #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning

➡️ Advanced Certificate Program In Data Science
This Advanced Certificate Program in Data Science is designed for working professionals & covers job-critical topics like R, Python, Machine Learning techniques, NLP notions,& Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, corporate ready projects.

Learn More at: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=Description&utm_source=youtube

✅ Key features:
- Advanced Data Science certificate and Purdue alumni association membership
- 3 Capstone and 25+ Projects with industry data sets from Amazon, Uber, Walmart, Comcast, and many more
- Masterclasses delivered by Purdue faculty and IBM experts
- Exclusive hackathons and Ask Me Anything sessions by IBM
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars
- 8X higher engagement in live online classes by seasoned academics and industry professionals

✅ Skills covered:-
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model building and fine tuning
- Supervised and unsupervised learning
- Natural Language Processing
- Ensemble Learning

Learn More at: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=Description&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

How far away are we from AGI? Does OpenAI have the right approach? Or will someone else get there first?

Are models like Dall-E, ChatGPT, and GPT-4 the way to get there?

Leave a comment below with what you think!

00:00 Intro
00:42 What is AGI?
01:08 OpenAI’s Origin Story
02:25 Enter GPT and Dall-E
03:15 OpenAI’s Roadmap
04:33 Closing Thoughts

Please like this video and subscribe to my channel if you want to see more videos like this!

Follow me on other platforms so you’ll never miss out on my updates!

💌 Sign up for my newsletter! https://alexchao.substack.com/subscribe
🐦 Follow me on Twitter https://twitter.com/alexchaomander
👥 Connect with me on LinkedIn https://www.linkedin.com/in/alexchao56/

Sources:
Planning for AGI and Beyond (https://openai.com/blog/planni....ng-for-agi-and-beyon

McKinsey's executive primer on artificial general intelligence
(https://www.mckinsey.com/capab....ilities/operations/o

Contrary Research’s report on Open AI
(https://research.contrary.com/reports/openai)

I sit down with my dear friend Vin (Internet Vin) for a deep, hands-on walkthrough of how he uses Obsidian and Claude Code together as a thinking partner, idea generator, and personal operating system. Vin demonstrates live how Claude Code can read, reference, and surface patterns across an entire Obsidian vault of interlinked markdown files — turning years of personal notes into actionable insights, project ideas, and even custom commands. This episode covers everything from the basic setup to advanced workflows like tracing how ideas evolve over time, generating contextual startup ideas, and delegating tasks to autonomous agents. If you are serious about getting the most out of LLMs, this is the episode that shows you how your own writing becomes the fuel.

Timestamps
00:00 – Intro
02:10 – What Is Claude Code?
06:45 – What Is Obsidian?
10:28 – Obsidian CLI: Giving Claude Code Access to Your Vault
14:53 – Thinking Tools: Ghost, Challenge, Emerge, Drift, Ideas, Trace
22:51 – The Role of Reflection in Building a Powerful Vault
25:15 – How This Relates to OpenClaw (Autonomous Agents)
29:13 – Live Demo: /Connect — Bridging Two Domains
31:25 – Meeting Notes & External Info
33:23 – Why Vin Keeps a Strict Separation: Human-Written vs. Agent-Written
35:42 – How Claude Code uses Obsidian
41:46 – Live Demo: /Ideas — Generating Actionable Ideas from Your Vault
47:10 – The /Graduate Command
50:29 – Why Obsidian Is the Missing Link for AI Companies
54:53 – The Alpha: Why 99.99% of People Won't Do This
57:38 – Closing Thoughts & Where to Follow Vin

Key Points

* Claude Code is a command-line agent that can control your computer through natural language — and its power multiplies when you feed it rich, persistent context files instead of re-explaining projects every session.
* Obsidian is uniquely valuable because it sits on top of interlinked markdown files; the new Obsidian CLI lets Claude Code see both the files and the relationships between them.
* Vin built custom slash commands (/trace, /connect, /ideas, /ghost, /drift, /challenge) that let him use Claude Code as a thinking partner — surfacing latent patterns, contradictions, and ideas he would never see on his own.
* Writing and daily reflection are the engine of the entire system: the more you write, the more context the agent has, and the more it can do for you.
* Markdown files are the real oxygen of LLMs; if you are serious about building a personal OS with AI, a centralized note-taking tool built on markdown is foundational

Numbered Section Summaries

1. Obsidian as an Interlinked Knowledge Base

Vin introduces Obsidian as an interface that sits on top of a folder of markdown files, with the critical addition of backlinks — connections between files that mirror how the brain forms associations. He walks through his own vault, showing how daily notes, project files, and notes on people all link together in a visual graph.

2. Obsidian CLI: The Bridge Between Your Vault and Claude Code

The real breakthrough comes from Obsidian CLI, which gives Claude Code access to both the files and their interrelationships. This means the agent can see that a note about filmmaking is connected to a note about world building, and can surface cross-domain patterns you have been circling for months without realizing it.

3. Custom Slash Commands as Thinking Tools

Vin demonstrates a suite of custom commands he built: /context loads his full life and work state; /today pulls calendar, tasks, and daily notes into a prioritized plan; /trace tracks how an idea has evolved over time; /connect bridges two domains using the vault's link graph; /ghost answers a question the way Vin would; /challenge pressure-tests his current beliefs. These turn Claude Code from a generic assistant into a deeply personalized thinking partner.

4. Markdown Files as the Foundation of the AI Era

I make the case that if you are serious about using LLMs to their full potential, a centralized markdown-based note-taking system is table stakes. Writing and reflection are the raw material; files are perfect memory where human recall is flawed; and the 99.99% of people who skip this step are leaving massive value on the table.

The #1 tool to find startup ideas/trends - https://www.ideabrowser.com/
LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/
The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/

FIND ME ON SOCIAL
X/Twitter: https://twitter.com/gregisenberg
Instagram: https://instagram.com/gregisenberg/
LinkedIn: https://www.linkedin.com/in/gisenberg/

FIND VIN ON SOCIAL
X: https://x.com/internetvin
Youtube: https://www.youtube.com/@otherstuffpod
Personal Website: https://internetvin.com/Index

Cute Baby Animals 4K Video Ultra HD | Wildlife 4K UHD | Cinematic Video

There is nothing sweeter and more beautiful than children. Babies of all animals look very helpless, charming and funny.

Subscribe to our channel, let's travel around the world together!

Thanks for watching! ☺
________________________________

More our videos:

Macro in Nature 4K: https://youtu.be/qnL1PP12KzU

Pink Flamingo 4K Video: https://youtu.be/AdFnYJZooF8

Hong Kong 4K Video: https://youtu.be/822UfcAUKGw

The Dolomites 4K: https://youtu.be/1XjbvpzuD1s

Tokyo 4K Video: https://youtu.be/gaN1H4V_nqg

Poland 4K Video: https://youtu.be/zCRv8haPwNs

Seychelles 4K Video: https://youtu.be/xCFU8m1czc0

Rio de Janeiro 4K: https://youtu.be/q84F3zT9Y74

Prague 4K Video: https://youtu.be/7id2ZJn8cgY

Iceland Volcano Eruption 4K: https://youtu.be/EhCLzuHsphE

Georgia 4K Video: https://youtu.be/VZ3M7uZ4IyE
________________________________
Copyright information:
▶ All Footage and Music used In this video Is Licensed
▶ All Footage Was Edited And Color Corrected By Me
▶ I Use Paid Footage In My Channel
_______________________________
Relevant hashtags:
#Animals #baby #babyanimals #littleanimals #wildlife #wildanimals #nature #4k #4kvideo #cinematicvideo #uhd #video4k #travel #aroundtheworld #virtualtour

Dive into the world of Language Model as I guide you through the process of training a small language model using GPT-2! In this tutorial, we'll explore how to leverage the powerful distilgpt2 transformer to understand diseases and symptoms better.

📋 Tutorial Highlights:

Dataset Loading: Learn how to load a relevant dataset on diseases and symptoms from Hugging Face datasets.
Tokenization and Model Setup: Understand the crucial steps of tokenization using GPT-2's tokenizer and initializing the language model.
Training Loop: Walk through the training loop, exploring each epoch, monitoring training and validation losses, and ensuring your model is learning effectively.
Hyperparameter Tuning: Fine-tune your model by adjusting batch sizes, learning rates, and more.
Text Generation: Witness the power of your trained model by generating meaningful text based on input strings.

🤖 Why Train a domain specific Language Model like MedLLM?
Training a language model allows you to teach your model about the relationships between diseases and symptoms, enabling it to generate informative and context-aware responses.

🔔 Don't forget to like, comment, and subscribe for more exciting tutorials on Gen AI and machine learning! Your support keeps the channel thriving.

Join this channel to get access to perks:
https://www.youtube.com/channe....l/UC-zVytOQB62OwMhKR

📁 Download Code: https://github.com/AIAnytime/T....raining-Small-Langua
📚 Resources:
Hugging Face Model: https://huggingface.co/distilgpt2
Dataset Source: https://huggingface.co/dataset....s/QuyenAnhDE/Disease

#generativeai #llm #ai

My FREE AI OS Course: https://www.skool.com/ai-automation-society/about
Full courses + unlimited support: https://www.skool.com/ai-autom....ation-society-plus/a
Apply for my YT podcast: https://podcast.nateherk.com/apply
Work with me: https://uppitai.com/

My Tools💻
FREE MONTH voice to text: https://get.glaido.com/nate
Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting



Welcome to the most comprehensive free course on AI automation and AI agents for beginners using n8n.

In this 8+ hour deep-dive, I’ll walk you step-by-step through what you need to go from complete beginner to building and selling real AI-powered automations, no coding required.

We’ll cover what AI agents are, why they’re a smart investment right now, and how to use n8n to build powerful workflows with a free two-week trial.

You’ll learn n8n foundations, how to set up APIs and HTTP requests, and how to use tools like agent memory, multi-agent systems, and prompting to create scalable systems.

We’ll also explore essential concepts like webhooks, MCP servers, and self-hosting, plus a ton of advanced strategies packed into easy-to-follow lessons.

By the end of this course, you’ll have built over 15 working AI automations that you can use or sell. This video is insanely value-packed, so make sure to save it and come back to it whenever you hit a roadblock.

If you’re serious about mastering AI agents and automation, this course is the only one you’ll need.

Sponsorship Inquiries:
📧 [email protected]

Connect with me:
https://www.linkedin.com/in/nateherkelman/
https://x.com/nateherk
https://www.instagram.com/nateherk/

WATCH NEXT:
https://youtu.be/QhujcQk8pyU?si=kpGWo0cF4aiAaT68

TIMESTAMPS
00:00 Course Agenda (8+ Hours)
01:43 AI Agents Simplified
09:02 The Industry Opportunity
12:05 n8n Foundations (workflows, variables, JSON)
40:45 n8n Data Types
48:25 23 Workflow Templates FREE
49:09 Step by Step AI Workflows
51:25 1) RAG Pipeline & Chatbot
01:11:02 2) Customer Support Workflow
01:22:06 3) LinkedIn Content Creator Workflow
01:32:58 Bonus Workflow: Invoice Processing
02:09:54 APIs Explained Simply
02:34:21 Perplexity API Setup
02:40:36 Firecrawl API Setup
02:54:48 Apify API Setup
03:02:50 Image Generation API Setup
03:21:11 Video Generation API Setup
03:47:15 Don't Use AI Agents Wrong
04:00:26 Build Your First Agent!
04:24:06 Postgres & Supabase Setup
04:34:46 Multi Agent System Architecture
04:55:22 4 Agent Architectures
05:12:52 Prompting AI Agents
05:39:58 Output Parsing
05:46:25 Human in the Loop
06:02:16 Error Workflows
06:11:47 Dynamic Brain
06:25:03 Webhooks
06:31:24 Voice Email Agent
06:47:31 Front End w/ Lovable
07:06:59 What is MCP?
07:19:49 MCP & Self Host n8n Setup
07:45:05 Lessons from 6 Months of Building Agents
08:25:36 If You Made it Here, You Rock


Gear I Used:
Camera: Razer Kiyo Pro
Microphone: Blue Yeti USB

In this video I explain how Word2Vec works and it's two model variants in Continuous Bag of words (CBOW) and Skip-Gram. I also give an intuitive understanding of what embeddings are, why they are important as this is fundamentally what this algorithm is trying to learn.

Timestamps:
0:00 - Introduction to Word2vec
0:54 - Understanding Embeddings
5:20 - CBOW model of Word2Vec
8:46 - Skip-Gram model of Word2Vec
9:34 - Outro

MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Covers transfer learning, convolutional neural network (CNN) models, pooling layers, and application examples, including a handbags-shoes classifier.

License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.