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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01:35 What is Github Copilot ?
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01:35 What is Github Copilot ?
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Unlock the secrets of AI model fine-tuning in this easy-to-follow guide! Learn how to:

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Discover why fine-tuning isn't as daunting as it seems, and how you can tweak AI models to match your unique style. Perfect for beginners and those intimidated by traditional Python notebook tutorials.

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00:00 - AI is Amazing
00:26 - Two approaches to tweaking models
00:36 - What is fine tuning
00:57 - Why is it hard to get started
01:12 - The biggest problem
01:39 - Just 3 steps
01:52 - The hardest part
02:09 - Start with step 1
02:27 - How to figure out what to do
03:51 - My first fine tune
04:44 - What to put where
04:58 - Move on to the next step
05:31 - Huggingface login
05:48 - The mlx command
06:43 - The results
06:56 - Define the new model
07:32 - A couple of gotchas

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In this Data Warehousing Tutorial For Beginners, you will learn what is Data Warehouse, types of Data Warehouse, Data Warehouse Concepts, popular Data Warehouse tools, hands-on demo on how data flows in Data Warehouse, introduction to Data mart, what is Data Modeling, Data Warehouse Interview Questions.

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00:08:01 The rise of cybercrimes
00:14:59 Malware Attack
00:23:04 Phishing Demo
00:24:07 Social Engineering
00:25:22 Man in the Middle Attack
00:27:00 Man in the Middle Attack Demo
00:27:45 DoS Attack
00:28:26 SQL Attack
00:29:44 Password Attack and types
00:34:25 Types of Network Attacks
00:35:20 Motives Behind Cybercrime
00:37:01 History of Cybercrime
00:40:40 Motives behind a cyberattack
01:05:53 Why Cyber Security
01:09:12 Tackling cybercrime
01:31:57 Cyber Security threats
01:59:11 What is DDoS Attack?
02:17:16 Who is a CS expert
02:27:32 Ethical hacking
02:35:00 What is ethical hacking
03:12:36 Installing Kali Linux, basic commands demo
03:28:30 Phishing demo, SQL demo, VPN demo, firewall, areas of EH
03:56:42 Metasploit attack
04:11:59 Importance of CS certifications
04:31:45 EH certifications
04:44:11 CS jobs
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05:16:59 Why & What is CEH certification?
05:34:38 Ethical Hacking Career
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05:59:16 CISSP domains
06:12:35 CIA
06:14:59 Information security
06:46:46 Why and What is Asset security
06:54:54 What is CISSP exam?

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐑𝐞𝐚𝐜𝐭 𝐉𝐒 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/reactjs....-redux-certification Use code (𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
In this Edureka video on "How to Learn React JS", you will learn everything about React js Roadmap. We have covered ReactJS basic to advanced Concepts that you need to know so this video will be helpful to a beginner. Below are the topics covered in this How to Learn React JS video:
00:00:00 Introduction
00:01:00 Agenda
00:01:45 Introduction to React JS
00:02:38 Prerequisites
00:03:30 React.js Concepts
00:05:04 React.js Roadmap
00:08:00 Project Ideas

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** Test Automation Engineer Masters Program : https://www.edureka.co/masters....-program/automation- **
This Edureka video on "Software Testing Life Cycle" will provide you with in-depth knowledge about software testing and the different phases involved in the process of testing.
Below are the topics covered in this session:

0:59 Introduction to Software Testing
2:14 Why Testing is Important?
4:17 Who does Testing?
4:40 Software Testing Life Cycle
5:24 Requirement Analysis
8:26 Test Planning
13:01 Test Case Development
16:34 Test Environment Setup
18:23 Test Execution
20:15 Test Cycle Closure

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 𝐰𝐢𝐭𝐡 𝐓𝐞𝐧𝐬𝐨𝐫𝐟𝐥𝐨𝐰 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: https://www.edureka.co/ai-deep....-learning-with-tenso (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Video on Logistic Regression in Python will give you a basic understanding of the Logistic Regression Machine Learning Algorithm with examples. In this video, you will also get to see a demo on Logistic Regression using Python.
00:00:00 Introduction
00:01:18 What is Regression?
00:03:25 Logistic Regression: What and Why?
00:08:45 Linear vs Logistic Regression
00:10:18 Use Cases
00:12:16 Demo


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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥Become Data Analytics Expert Today: https://taplink.cc/simplilearn_data_analytics

Data analytics has been rapidly growing, with companies looking to generate insights and drive their business with the help of data. In this Data Analytics Full Course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and perform analysis of data using Python and R. In addition to that; we will see the top 10 data analysis tools and understand the difference between a data scientist and a data analyst. Finally, we’ll see the top interview questions that will help you crack a data analyst interview.

Dataset Link - https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

00:02:09 Data Analytics for Beginners
00:03:01 What is Data Analytics
00:04:30 Steps involved in Data Analytics
00:06:25 Tools used in Data Analytics
00:10:00 Data analytics applications
00:16:35 companies using data analytics
00:17:15 case study
00:21:15 Who is a data analyst
00:21:53 Top 10 skills to become a Data analyst in 2022
00:28:54 Top 10 Analysis Tools
00:47:10 Data Analytics Using Phyton
02:34:14 R tutorial
03:02:54 Time Series
04:13:12 Pivot table in Excel
04:41:20 Excel Dashboarding
06:12:03 Covid 19
06:53:31 Spotify
07:34:18 World Happiness Report
08:29:51 Olympics
09:27:32 Data Analyst Interview Questions

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
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- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

👉 Learn More at: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=16Oct2023LGLoopEvening1-CaqJ65CIoMw&utm_medium=Description&utm_source=youtube
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🔥 Become An AI & ML Expert Today: https://taplink.cc/simplilearn_ai_ml

In this comprehensive AI Course With Python course, we'll guide you through the foundations of AI, covering everything from the basics to advanced concepts. With Python as our tool of choice, you'll gain hands-on experience in building AI models, understanding neural networks, and working with real-world data. Whether you're a beginner or a seasoned programmer, our expert instructors will ensure you grasp these complex topics with ease. Start your AI adventure today and unlock endless possibilities. Subscribe, like, and join us in mastering AI with Python!

Here in this AI Course With Python video. we start with:

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⏩ Check out the ML training videos: https://youtube.com/playlist?list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy&si=xuSv1wXxAhfaxLlF

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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.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
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- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

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Shane Legg, the visionary founder of Deepmind has just dropped a bombshell: he envisions DeepMind achieving Artificial General Intelligence, or AGI, by the year 2028. This announcement comes as a seismic shift in the AI landscape, setting the stage for a future where machines possess human-level cognitive abilities. The implications are nothing short of revolutionary, promising to reshape industries, economies, and the very fabric of our existence!
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Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.
-----
TIMESTAMPS:
00:00 AGI By 2028 confirmed
01:10 Deepmind is working towards AGI
05:04 How AGI will be created
-----
#deepmind #ai #agi

This lab measures the tiniest forces in the universe. This video is sponsored by Brilliant. You can get started for free, or the first 200 people to sign up via https://brilliant.org/veritasium get 20% off a yearly subscription.

▀▀▀
Thanks to Rich Press and NIST for the great visit.
Thanks to Dr. Gordon Shaw for showing us around his lab and teaching us about measuring tiny forces.
You can check out all the cool work going on at NIST here: https://www.nist.gov/

▀▀▀
References:

Lee, J. (2016). Measuring Tiny Forces With Light. NIST. – https://ve42.co/Lee2016

Melcher, J., Stirling, J., Guzman, F., Pratt, J. & Shaw, G. (2014). A self-calibrating optomechanical force sensor with femtonewton resolution. Applied Physics Letters. – https://ve42.co/Melcher2014

▀▀▀
Special thanks to our Patreon supporters:
Bernard McGee, James Sanger, Elliot Miller, Brian Busbee, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin Jr., OnlineBookClub.org, Eric Sexton, John Kiehl, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Mike Schneider, John Bauer, Jim Buckmaster, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi

▀▀▀
Written by Derek Muller
Edited by Trenton Oliver
Animation by Ivy Tello
Filmed by Derek Muller, Trenton Oliver, and Emily Zhang
Additional video/photos supplied by Pond5 & Getty Images
Music from Epidemic Sound
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

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📊 Excel vs Power BI: Unleashing the Power of Data

In this insightful video, we dive deep into the world of data analysis and visualization, comparing two powerhouse tools: Microsoft Excel and Power BI. Whether you're a data enthusiast, a business professional, or a student eager to enhance your skills, this comparison will help you understand the strengths and nuances of each tool.

🔍 What's Covered:

Introduction to Excel:

Explore Excel's familiar interface and its robust capabilities for data manipulation.
Learn how to create pivot tables, use formulas, and perform basic data analysis within Excel.
Introduction to Power BI:

Discover the dynamic features of Power BI designed for advanced data modeling and visualization.
Understand the seamless integration of Power BI with various data sources for real-time insights.
Head-to-Head Comparison:

Breakdown of key differences and similarities between Excel and Power BI.
Practical examples showcasing scenarios where one tool may excel over the other.
When to Use Each Tool:

Guidance on choosing the right tool based on your specific needs and the complexity of your data.
Integration Possibilities:

Explore how Excel and Power BI can work together harmoniously to maximize your analytical capabilities.

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

⏩ Check out the Data Analytics Training Videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

✅ Enroll Course Now: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=23Nov23ExcelVsPowerBi&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=23Nov23ExcelVsPowerBi&utm_medium=Description&utm_source=youtube

Check out KiwiCo and get 50% off your first month of ANY crate at https://www.kiwico.com/xylafoxlin

💸 Support me on Patreon:
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Derek's First Video on Blackbird: https://youtu.be/jyQwgBAaBag
Derek's Second Video: https://youtu.be/yCsgoLc_fzI

A HUGE thank you to my friend Shane for stepping in and helping me with overnight CAD while I was overwhelmed and struggling and seriously needed to just sleep. Y'all should give him a follow, he is a very cool rocket kid! https://twitter.com/Shanepc14

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Build your own Impossible Wind Cart:
------------------------------------------------------------
**I HIGHLY recommend ordering ordering extra parts, especially ball bearings and plastic gears. The listed quantities are what is on the cart in it's final form.**

CAD Files: https://www.thingiverse.com/thing:4897423

My 3D Printer (Creality CR-200B): https://www.creality3dofficial.....com/products/cr-200

Bill of Materials from McMaster-Carr:
https://www.mcmaster.com/
1x 12205T79 Natural Rubber Bands Size 73, 3/8" Wide x 3" Long
6x 60355K42 Ball Bearing Shielded, Trade No. R3-2Z, for 3/16" Shaft Diameter
2x 7297K12 Plastic Miter Gear 48 Pitch, 24 Teeth
2x 1263K55 Rotary Shaft 316 Stainless Steel, 3/16" Diameter, 24" Long
2x 8978K113 Rigid Aluminum Tubing 3/16" OD, 0.022" Wall Thickness, 490 PSI Maximum Pressure, 3' Long
2x 6432K19 Set Screw Shaft Collar for 3/16" Diameter, Zinc-Plated 1215 Carbon Steel

The Propeller: https://www.apcprop.com/product/14x4-7sf/
(affiliate link, not the prop I used: https://amzn.to/3y58jz0)

Pretty Purple Filament: https://amzn.to/3A8cXOJ ;)

Alternatively, a good friend of mine wanted to build this and shaved $14 off the BOM still ordering from McMaster. I can't vouch since it's not what I built specifically but I'm fairly certain it'll be exactly the same:
1 1 Pack of 360 12205T79 Natural Rubber Bands Size 73, 3/8" Wide x 3" Long
2 2 Each 7297K12 Plastic Miter Gear 48 Pitch, 24 Teeth
3 2 Each 8978K113 Rigid Aluminum Tubing 3/16" OD, 0.022" Wall Thickness, 490 PSI Maximum Pressure, 3' Long
4 2 Each 6432K19 Set Screw Shaft Collar for 3/16" Diameter, Zinc-Plated 1215 Carbon Steel
5 6 Each 57155K374 Stainless Steel Ball Bearing Precision, Shielded, NO. R3-2Z, 50000 rpm Maximum Speed
6 2 Each 1257K55 Rotary Shaft 303 Stainless Steel, 3/16" Diameter, 24" Long

Huge thank-you to TotalBoat for supporting my channel!
Use my affiliate link for 5% off your whole purchase :)
https://www.totalboat.com/BotalToat