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This Video on Artificial Intelligence Full Course is a complete tutorial to understanding AI concepts, tools, and applications. It begins with what Artificial Intelligence is, the future of AI, and the AI engineer roadmap to help learners build their careers. You’ll explore AI careers, essential AI projects, and generative AI (Gen AI), including hands-on Gen AI projects. The course provides practical insights into how to get a job in AI and covers key topics such as machine learning (ML), AI bias, and deep learning, along with the differences between AI, ML, and DL. Advanced concepts like ML algorithms, reinforcement learning, Q-learning, and transformers in AI are also explained. You’ll learn about running Llama privately, prompt engineering, and LLM benchmarking, with an overview of multimodal AI and tools like LangChain and Cursor AI. Practical sessions include data analytics using AI, building websites with AI, creating and selling digital products using AI, and exploring tools like Notion for beginners and Gen AI tools for job interviews. Finally, topics like confusion matrix in ML, recurrent neural networks, and practical AI applications ensure you gain both theoretical knowledge and real-world skills to excel in AI.

Following are the topics covered in this AI Full Course For Beginners:

00:00:00 Introduction to Artificial Intelligence Full Course
00:08:08 What is Artificial Intelligence
00:17:14 Future of AI
00:18:34 AI Engineer Roadmap
00:33:15 AI Carrers
00:46:34 AI Projects
00:47:19 What is Gen AI
01:05:37 Gen AI Projects
01:12:43 How to get Job in AI
02:09:20 What is ML
02:15:01 AI Bias
02:20:43 Open AI Strawberry
02:27:42 Deep Learning
02:33:53 Difference between AI ML and DL
02:46:11 Machine learning algorithms
03:03:56 ML Projects for Beginners
03:05:03 Run Lama Privately
03:13:47 Introduction to LLM
03:23:34 What is Prompt Engineering
03:32:27 LLM Benchmarkeing
03:38:04 Mutimodel AI
03:57:55 CHatgpt analyse
07:15:52 Reinforcement Learning
07:16:42 Q Learning
07:39:25 Transformers in AI
07:47:01 Langchain Explained
08:18:41 Data Analytics using AI
10:22:56 Recurrent Neural Network
10:48:37 Build Website with AI
11:00:31 Create and sell digital products using AI

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#ArtificialIntelligenceFullCourse #AIFullCourse #AIAndMLFullCourse #MachineLearning #AIAndMachineLearning #ArtificialIntelligenceFullCourse #MachineLearningFullCourse #Simplilearn

➡️ About Post Graduate Program In AI And Machine Learning

Key Features
✅ Post Graduate Program certificate and Alumni Association membership
✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
✅ Master Classes delivered by Purdue faculty and IBM experts
✅ Simplilearn's Job Assist helps you get noticed by top hiring companies

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Discover strange new universes that turn up at the core of Einstein’s General Relativity. Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.

If you’re looking for a molecular modeling kit, try Snatoms – a kit I invented where the atoms snap together magnetically – https://ve42.co/SnatomsV

▀▀▀
A massive thank you to Prof. Alex Kontorovich for all his help with this video.

A huge thank you to Prof. Geraint Lewis and Dr. Ashmeet Singh for helping us understand the applications of Non-Euclidean geometry in astronomy/cosmology.

Lastly, a big thank you to Dr. Henry Segerman and Dr. Rémi Coulon for helping us visualize what it’s like to be inside hyperbolic space and helping us understand hyperbolic geometry.

▀▀▀
Images:
Euclid via Science Museum Group - https://ve42.co/Euclid

Geodesy survey via ams - https://ve42.co/Geodesy

John Wheeler via NAS Online - https://ve42.co/Wheeler

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References:
Dunham, W. (1991). Journey through Genius: Great Theorems of Mathematics. John Wiley & Sons.

Bonola, R. (1955). Non-Euclidean geometry: A critical and historical study of its development. Courier Corporation.

Library of Congress. (n.d.). The Library of Congress. - https://ve42.co/LibofCongress

Euclid’s Elements, Wikipedia - https://ve42.co/Elements

The History of Non-Euclidean Geometry, Extra History via YouTube - https://ve42.co/ExtraHistory

We (could) live on a 4D Pringle - Physics for the Birds via YouTube - https://ve42.co/4DPringle

Parallel Postulate, Wikipedia - https://ve42.co/Parallel

Prékopa, A., & Molnár, E. (Eds.). (2006). Non-euclidean geometries: János Bolyai memorial volume (Vol. 581). Springer Science & Business Media.

St Andrews, University of. (n.d.). Bolyai. MacTutor History of Mathematics. - https://ve42.co/Bolyai

Bolyai, J. (1896). The Science Absolute of Space.. (Vol. 3). The Neomon.

Gauss, Wikipedia - https://ve42.co/Gauss

Singh, U. (2022). Gauss-Bolyai-Lobachevsky: The dawn of non-euclidean geometry. Medium. - https://ve42.co/CPNonEuclidean

Landvermessung, D. Z. (1929). Abhandlungen ueber Gauss' wissenschaftliche Taetigkeit auf den Gebieten der Geodaesie, Physik und Astronomie Bd. 11, Abt. - https://ve42.co/Landvermessung

Nikolai Lobachevsky, Wikipedia - https://ve42.co/Lobachevsky

Lobachevskiĭ, N. I. (1891). Geometrical researches on the theory of parallels. University of Texas.

A Problem with the Parallel Postulate, Numberphile via YouTube - https://ve42.co/NumberphileParallel

Riemann, B. (2016). On the hypotheses which lie at the bases of geometry. Birkhäuser. - https://ve42.co/Riemann

Einstein, A. (1905). On the electrodynamics of moving bodies. Annalen der physik, 17(10), 891-921. - https://ve42.co/Einstein1905

ESA/Hubble. (n.d.). Hubblecast 90: The final frontier of the Frontier Fields. ESA/Hubble. - https://ve42.co/Einstein1905

Agazie, G., et al. (2023). The NANOGrav 15 yr data set: Constraints on supermassive black hole binaries from the gravitational-wave background. - https://ve42.co/NANOGrav

Secrets of the Cosmic Microwave Background, PBS Spacetime via YouTube - https://ve42.co/PBSCMB

Wood, C. (2020). How Ancient Light Reveals the Universe's Contents. Quanta Magazine. - https://ve42.co/AncientLight

Collaboration (2014). Planck 2013 results. XVI. Cosmological parameters. A&A, 571, A16. - https://ve42.co/Planck2013

WMAP Science Team, NASA. (2014). Matter in the Universe. WMAP, NASA. - https://ve42.co/WMAP2014

What Is The Shape of Space, minutephysics via YouTube - https://ve42.co/SpaceShape

Shape of the universe, Wikipedia - https://ve42.co/UniverseShape

Crocheting Hyperbolic Planes: Daina Taimina by Ted, via YouTube - https://ve42.co/Hyperbolic

Hyperbolic Crochet model - https://ve42.co/Crochet

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Directed by Casper Mebius
Written by Casper Mebius, Petr Lebedev, Emily Zhang, Derek Muller, and Alex Kontorovich
Edited by Jack Saxon
Animated by Fabio Albertelli, Ivy Tello, and Mike Radjabov
Illustrations by Jakub Misiek and Celia Bode
Filmed by Derek Muller
Produced by Casper Mebius, Derek Muller, and Han Evans

Additional video/photos supplied by Getty Images, Pond5, and by courtesy of: NASA, NASA's Goddard Space Flight Center, NASA Goddard Flight Lab/ CI Lab, NASA’s WMAP science teams, ESO, and ESA/Hubble.
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Top 10 Advanced Excel Tricks for Data Analysis by Simplilearn is an advanced Excel tutorial dedicated for aspiring data analysts and business analysts to help them understand the advaced Excel concepts For Data Analysi. This Simplilearn Advanced excel tutorial will cover some advanced excel topics as mentioned below.

0:04:20 Goal Seek In Excel
0:22:20 Charts In Excel
0:07:40 Conditional Formatting In Excel
0:49:04 Data Validation In Excel
0:47:42 Excel Lookup Tutorial
0:51:16 How to implement Vstack Function In Excel
0:51:15 How to Create a Pivot Table Using Multiple Sheets in Excel
0:55:40 Slicers In Excel
0:58:52 SUMIFS Formula in Excel
1:06:46 How to Create Drop Down List In Excel?
1:26:51 Pivot Tables In Excel
1:10:54 How To Recover Unsaved Excel File

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➡️ About Post Graduate Program In Data Analytics
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In this Automate Excel using ChatGPT using Python, we will explore ChatGPT by OpenAI, which interacts conversationally. This ChatGPT Excel Automation will help you automate Excel, giving simple commands to ChatGPT. The ChatGPT tutorial for beginners will help you understand working with ChatGPT.

Here we start with:
00:00:00 Automate Excel using ChatGPT using Python
00:00:30 Quiz Question
00:01:02 Python Skillup Course
00:01:31 Introduction to ChatGPT
00:03:00 Login to ChatGPT
00:08:51 Concatenating Excel files using ChatGPT
00:20:00 Using SUM and AVERAGE functions using ChatGPT in Excel
00:29:45 Adding Prefix to phone numbers in Excel Sheet
00:36:42 Replacing value name from a group of excel workbooks
00:52:20 Group Data using Columns in Excel
01:10:13 Change Excel file name using Python using ChatGPT
01:13:58 Simplilearn Course

Link to excel files: https://github.com/abhisarahuj....a/automate_excel-_si

✅The artificial intelligence research firm OpenAI created ChatGPT, a chatbot based on AI. The chatbot reacts in a human-like manner and can grasp simple language. It is based on the language model GPT-3.5. The prototype of the chatbot was unveiled on November 30, 2022.

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➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

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- Post Graduate Program certificate and Alumni Association membership
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- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
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In this episode, I sit down with Professor Ras Mic for a beginner-friendly crash course on using Claude Code (and AI coding agents in general) without feeling overwhelmed by the terminal. We break down why your output is only as good as your inputs and how thinking in features + tests turns “vague app ideas” into real, shippable products. Was walks me through a better planning workflow using Claude Code’s Ask User Question Tool, which forces clarity on UI/UX decisions, trade-offs, and technical constraints before you build. We also talk about when not to use “Ralph” automation, why context windows matter, and how taste + audacity are the real differentiators in 2026 software.

Timestamps
00:00 – Intro
01:22 – Claude Code Best Practices
05:31 – Claude Code Plan Mode
09:30 – The Ask User Question Tool
14:52 – Don’t start with Ralph automation (get reps first)
16:36 – What are “Ralph loops” and why plans and documentation matter most
18:41 – Ras’s Ralph setup: progress tracking + tests + linting
23:48 – Tips & tricks: don’t obsess over MCP/skills/plugins
27:44 – Scroll-stopping software wins

Links Mentioned:

Ras's Ralphy AI Agent: https://startup-ideas-pod.link/ras-ralphy

Key Points

* Your results improve fast when you treat AI agents like junior engineers: clear inputs → clean outputs.
* The biggest unlock is planning in features + tests, not broad product descriptions.
* Claude Code’s Ask User Question Tool forces real clarity on workflow, UI/UX, costs, and technical decisions.
* If you haven’t shipped anything, don’t hide behind automation—build manually before using “Ralph.”
* Context management matters: long sessions can degrade quality, so restart earlier than you think.

Numbered Section Summaries

* The Real Reason People Get “AI Slop” I frame the episode around a simple idea: if you feed agents sloppy instructions, you’ll get sloppy output. Ras explains that models are now good enough that the failure mode is usually unclear inputs, not model quality.

* How To Think Like A Product Builder (Features First): Ras pushes a practical mindset: don’t describe “the product,” describe the _features_ that make the product real. If you can list the core features clearly, you can actually direct an agent to build them correctly.

* The Missing Piece: Tests Between Features: We talk about the shift from “generate code” to “build something serious.” The move is writing and running tests after each feature, so you don’t stack feature two on top of a broken feature one.

* Why Default Planning Mode Isn’t Enough: Ras shows the standard flow: open plan mode, ask Claude to write a PRD, and get a basic roadmap. The issue is it leaves too many assumptions—especially around UI/UX and workflow details.

* The Ask User Question Tool (The Planning Upgrade): This is the big unlock. Ras demonstrates how the Ask User Question Tool interrogates you with increasingly specific questions (workflow, cost handling, database/hosting, UI style, storage, etc.) so the plan becomes dramatically more precise.

* Spend Time Upfront Or Pay For It Later: We connect the dots: better planning reduces back-and-forth, reduces token burn, and prevents “I built the app but it’s not what I wanted.” The interview-style planning forces trade-offs early instead of late.

* Don’t Use Ralph Until You’ve Built Without It: Ras makes a strong case for reps: if you can’t ship something end-to-end yet, automation won’t save you—it’ll just move faster in the wrong direction. Build feature-by-feature manually first, then graduate to loops.

* Practical Tips: Context Discipline + Taste Wins: Ras shares a few operational habits: don’t obsess over tools like MCP/plugins, keep context usage under control, and restart sessions before quality degrades. We wrap on a bigger point: in 2026, “audacity + taste” is what makes software stand out.

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 MIC ON SOCIAL
X/Twitter: https://x.com/Rasmic
Youtube: https://www.youtube.com/@rasmic

The Top Christmas Songs of All Time playlist! This best Christmas Music playlist features all of the best Christmas songs you know and love! The best Christmas Playlist / Christmas Music mix for any occasion! We wish you a Merry Christmas 2024!

It's that time of year again! Christmas is quickly approaching, and what better way to celebrate than with some top Christmas songs? In this playlist, you'll find some of the best Christmas music out there, perfect for getting you in the mood for the holiday season! From classic Christmas carols to modern Christmas hits, this playlist has everything you need to get into the holiday spirit!

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This Edureka "Digital Marketing Career" video will help be your guide to build a career in Digital Marketing.

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Why do Boston Dynamics Robots dance? And Could Elon Musk be right that superhuman AI is only around five years away?

Boston Dynamics' Dancing Robots:
https://youtu.be/fn3KWM1kuAw

Interview with the GPT-3 AI:
https://youtu.be/PqbB07n_uQ4

PWC report on how automation will impact jobs:
https://www.pwc.co.uk/services..../economics/insights/

What’s up gadget-heads and welcome to another episode of TechJoint! Today, we’re bringing you the 10 TERRIFYING Military Robots That Really Exist! For the most part, robots exist to do good things. We’ve built them to vacuum our floors, work on assembly lines and even play fetch with our dogs. But because the military has always been at the cutting edge of technology, it should come as no surprise that some of the most advanced robots in the world are being built with military applications in mind. From tiny spy robots to pure death machines, let’s look at some of these most terrifying military robots. Before we begin, make sure you hit that subscribe button and turn on notifications so you never miss out on the latest and greatest tech.

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This Deep Learning tutorial will help you in understanding what is Deep learning, why do we need Deep learning, applications of Deep Learning along with a detailed explanation on Neural Networks and how these Neural Networks work. Deep learning is inspired by the integral function of the human brain specific to artificial neural networks. These networks, which represent the decision-making process of the brain, use complex algorithms that process data in a non-linear way, learning in an unsupervised manner to make choices based on the input.


Below topics are explained in this Deep Learning Tutorial:
Start (0:00)
1. What is Deep Learning? ( 02:25 )
2. Why do we need Deep Learning? ( 03:42 )
3. Applications of Deep Learning ( 04:55 )
4. What is Neural Network? ( 11:32 )
5. Activation Functions ( 15:50 )
6. Working of Neural Network ( 26:14 )

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LangChain is a framework for developing applications powered by large language models (LLMs).
code github: https://github.com/krishnaik06/Updated-Langchain

LangChain simplifies every stage of the LLM application lifecycle:
Development: Build your applications using LangChain's open-source building blocks and components. Hit the ground running using third-party integrations and Templates.
Productionization: Use LangSmith to inspect, monitor and evaluate your chains, so that you can continuously optimize and deploy with confidence.
Deployment: Turn any chain into an API with LangServe.

Timestamp

00:00:00 Introduction
00:00:46 Introduction To Langchain Ecosystem
00:09:09 Chatbot application Usinjg Langchain
00:35:36 Chain As Api For Deployment
01:02:16 Complete Basic Rag Pipeline
01:32:07 Advanced Rag Pipeline
01:51:34 Advanced RAG Pipeline With Multiple Data Source
02:16:10 End To End LAngchain Project USing Groq Inference Engine
02:44:07 Hugging Face With Langchain

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Fresh Langchain Playlist: https://www.youtube.com/watch?v=KmQOlg5YfU0&list=PLZoTAELRMXVOQPRG7VAuHL--y97opD5GQ
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►Learn In One Tutorials

Statistics in 6 hours: https://www.youtube.com/watch?v=LZzq1zSL1bs&t=9522s&pp=ygUVa3Jpc2ggbmFpayBzdGF0aXN0aWNz

End To End RAG LLM APP Using LlamaIndex And OpenAI- Indexing And Querying Multiple Pdf's

Machine Learning In 6 Hours: https://www.youtube.com/watch?v=JxgmHe2NyeY&t=4733s&pp=ygUba3Jpc2ggbmFpayBtYWNoaW5lIGxlYXJuaW5n

Deep Learning 5 hours : https://www.youtube.com/watch?v=d2kxUVwWWwU&t=1210s&pp=ygUYa3Jpc2ggbmFpayBkZWVwIGxlYXJuaW5n

►Learn In a Week Playlist

Statistics:https://www.youtube.com/watch?v=11unm2hmvOQ&list=PLZoTAELRMXVMgtxAboeAx-D9qbnY94Yay

Machine Learning : https://www.youtube.com/watch?v=z8sxaUw_f-M&list=PLZoTAELRMXVPjaAzURB77Kz0YXxj65tYz

Deep Learning:https://www.youtube.com/watch?v=8arGWdq_KL0&list=PLZoTAELRMXVPiyueAqA_eQnsycC_DSBns

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🔥 Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-

In this video, on *Generative AI Examples* , we will explore the fascinating world of *Generative AI* and how it's transforming industries. From creating stunning visual art to generating human-like text, Generative AI is opening new doors for creativity and innovation. We'll break down how AI models like *GPT* and *DALL-E* are used to generate everything from realistic images to engaging text content. By the end of this video, you’ll have a clear understanding of how Generative AI is shaping the future and what it means for businesses and creatives alike.

✅ 00:00 - Generative AI Examples
✅ 01:49 - Evolution of Generative AI
✅ 02:49 - What is Generative AI?
✅ 03:25 - Use-Cases of Generative AI
✅ 05:13 - Impact of Generative AI
✅ 05:57 - Examples of Generative AI

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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About Introduction to Generative AI Fundamentals Course

This course on Introduction to Generative AI is designed to equip learners with a solid understanding of generative models, from fundamental concepts to advanced applications. Starting with the basics, learners will grasp the principles of Generative AI, differentiate between generative and discriminative models, and explore popular tools in the field. Ethical considerations are addressed alongside practical skills like prompt engineering and deep learning techniques such as autoencoders and GANs. Advanced topics include working with large language models (LLMs), fine-tuning them for specific tasks, and applying reinforcement learning.

Who should take up this Generative AI learning path Course?

This course on Introduction to Generative AI is perfect for individuals aiming to pursue a career in AI, including data scientists, researchers, and developers who wish to explore generative models. It is also beneficial for professionals in various sectors like software development, marketing, and retail who want to utilize AI for problem-solving and innovation. Regardless of your level of experience, whether you are a novice or a seasoned practitioner, this course provides valuable knowledge and practical skills to enhance your expertise in Generative AI.

What are the prerequisites for this Introduction to Generative AI fundamentals Course?

There are no prerequisites required for this course, Introduction to Generative AI. However, it is beneficial to have:
Basic Python Programming Knowledge
Problem-Solving Skills
Fundamentals of Machine Learning

For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

#generativeaiexamples #generativeai #genai #aiexamples #artificialintelligence #aitools #aiapplications

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-Nwl7ZLNk (42MB)
- Slides. as Keynote: https://drive.google.com/file/....d/1FPUpFMiCkMRKPFjhi (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-effective
- What is in the run.c file? A bit more full-featured 1000-line version hre: https://github.com/karpathy/ll....ama2.c/blob/master/r

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

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Top 20 Most Important Excel Formulas by simplilearn is dedicated to guide the aspiring data analysts and business analysts with the top Excel Formulas For Data Analysis in 2024 and beyond. This Excel tutorial for beginners by Simplilearn will cover the following topics. In this video, we learn into the top 20 to 25 most important Excel formulas every data analyst needs to excel in their role.This excel tutorial will help you to refine your skills, and building a strong foundation in Excel proficiency.

0:00:00 How To Change Lower Case To Upper Case In Excel?
0:01:14 How To Add Rows In Excel?
0:02:47 How To Add Columns In Excel?
0:05:44 How To Select Entire Column In Excel?
0:08:32 How to Compare Two Columns In Excel?
0:15:51 How To Convert Rows To Columns In Excel?
0:17:28 How to Group Rows in Excel?
0:19:13 How To Remove Blank Rows In Excel?
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0:30:42 How To Merge Cells In Excel
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0:37:03 How To Change Date Format In Excel (dd/mm/yyyy) To (mm/dd/yyyy)
0:40:57 How To Calculate Age In Excel From A Date Of Birth?
0:42:51 How To Calculate Time Difference in Excel?
0:44:29 DAX In Excel Explained
0:49:34 Checkboxes In Excel
0:53:45 How to Insert Excel in PPT?
0:55:51 How To Insert Image In Excel?
0:59:18 How To Insert PDF in Excel Sheet ?
1:02:46 How To Convert PDF To Excel

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Welcome to our "Cyber Security Course" video, where we explore the basics of cyber security and why it's essential in today's digital world.

Cyber security is the practice of protecting computer systems, networks, and sensitive information from theft, damage, or unauthorized access. With the increasing reliance on technology and the internet, cyber-attacks have become a significant threat to individuals, businesses, and governments alike.

In this video, we'll cover the different types of cyber threats, including viruses, worms, trojans, and phishing scams. We'll also discuss the various techniques used to protect against these threats, such as firewalls, encryption, and intrusion detection systems.

You'll learn about the different roles and responsibilities within the field of cybersecurity, including security analysts, engineers, and administrators. We'll also highlight some of the key skills and qualifications needed to pursue a career in this exciting and fast-growing field.

By the end of this video, you'll have a better understanding of what cyber security is, why it's important, and how you can start taking steps to protect yourself and your digital assets. So, sit back, relax, and join us as we dive into the world of cyber security!

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👉Following topics are covered in this video:
00:00:00 - Introduction to CyberSecurity
00:07:26 - What is Cyber Security?
00:14:10 - Who is a Cyber Security Engineer?
00:16:20 - Skills required for Cyber Security?
00:18:32 - Learning Path: Cyber Security
00:30:16 - Introduction to Ethical Hacking
00:36:17 - Phases of Ethical Hacking
00:40:18 - Introduction to CEH
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00:48:39 - Footprinting with Nercraft
00:54:47 - What is Nmap?
01:08:46 - Network Enumeration with NetBIOS
01:19:47 - System Hacking with L0phtCrack
01:27:55 - ARP Poisoning with Cain & Able
01:34:59 - Phishing with SE Toolkit
01:40:36 - DDoS attack with H.O.I.C
01:48:02 - Session Hijacking with BetterCap
01:53:17 - Honeypotting with HoneyBOT
02:05:35 - What is Sql Injection?
02:28:42 - Creating a Trojan with njRAT
02:35:46 - Principles of Security (CIA)
04:05:42 - Memory
04:08:07 - Security Modes
04:24:38 - Cloud Computing - Shared Security
04:30:21 - Block Ciphers
04:41:21 - Hashing
06:24:42 - Firewalls
07:19:55 - Passwords
09:33:58 - Testing
10:03:19 - Programming Languages
10:47:24 - Interview Questions

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