Learn how to get started with the OpenAI API and GPT-3 in this Python Beginner tutorial.

Get your Free Token for AssemblyAI Speech-To-Text API 👇https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_pat_12

OpenAI is known for the creation of the GPT-3 model, a powerful deep learning model capable of producing human-like text.

What makes this API special is not only the powerful model but also that the API is not designed for one use-case only, but instead the API provides a general-purpose “text in, text out” interface, which allows users to try it on virtually any task in the English language.

Resources: https://openai.com/api/
Docs: https://beta.openai.com/docs/
AssemblyAI API tutorial: https://youtu.be/GvfmDGin7Zs

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🖥️ Website: https://www.assemblyai.com
🐦 Twitter: https://twitter.com/AssemblyAI
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▶️ Subscribe: https://www.youtube.com/c/Asse....mblyAI?sub_confirmat
🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers

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Timestamps:
00:00 Introduction
00:44 Pricing and Docs
01:34 Python Setup
04:00 Engine
04:42 Completion Endpoint
07:40 Playground
10:57 Classification Endpoint
14:00 Search Endpoint
16:10 Question answering Endpoint
18:57 AssemblyAI + OpenAI Virtual Assistant

#MachineLearning #DeepLearning #Python #OpenAI

Become a GPT text generation expert with our comprehensive 3-part video series. Learn how to build, train, and test your own GPT model, and gain insights into GPT-2 architecture, tokenization, and training processes that will elevate your language model projects.

Discover the power of GPT transformers and learn how to build, train, and test your own text generator in this comprehensive 3-part video series. Gain practical experience and insights into GPT-2 architecture, tokenization, and training techniques.

In this video, I will show you how to install PrivateGPT on your local computer. PrivateGPT uses LangChain to combine GPT4ALL and LlamaCppEmbeddeing for information retrieval from documents in different formats including PDF, TXT and CVS. The list of file types can be easily extended with PrivateGPT.

LINKS:
PrivateGPT GitHub: https://github.com/imartinez/privateGPT
Open Embeddings Video: https://youtu.be/ogEalPMUCSY
LLM Playlist: https://www.youtube.com/playli....st?list=PLVEEucA9MYh

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☕ Buy me a Coffee: https://ko-fi.com/promptengineering
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All Interesting Videos:
Everything LangChain: https://www.youtube.com/playli....st?list=PLVEEucA9MYh

Everything LLM: https://youtube.com/playlist?l....ist=PLVEEucA9MYhNF5-

Everything Midjourney: https://youtube.com/playlist?l....ist=PLVEEucA9MYhMdrd

AI Image Generation: https://youtube.com/playlist?l....ist=PLVEEucA9MYhPVgY

Welcome, to the Building with Instruction-Tuned LLMs: A Step-by-Step Guide workshop!

We will be taking questions during the event. Please submit your question or upvote others' here:
https://app.sli.do/event/erFLUz3s8yWhRZkFAkSx9b

Speakers
Dr. Greg Loughnane, Head of Product & Curriculum at FourthBrain
https://www.linkedin.com/in/gregloughnane/

Chris Alexiuk, is an LLM Instructor at FourthBrain
https://www.linkedin.com/in/csalexiuk/

Let us know how we're doing? We will be giving out discount codes for a selected number of people who fill out the survey:
https://forms.gle/qzBWfovxPTLPeVRN6

Looking to connect with your peer learners, share projects, and swap advice? Join our AI community:
https://community.deeplearning.....ai/invites/VVGtXQuW

To learn more about us and signup for future events:
https://www.deeplearning.ai/events/

This SAS Tutorial is specially designed for beginners, it starts with Why Data Analytics is needed, goes on to explain the various tools in Data Analytics, and why SAS is used among them, towards the end we will see how we can install SAS software and a short demo on the same!

In this SAS Tutorial video you will understand:

1) Why Data Analytics?
2) What is Data Analytics?
3) Data Science Analytics Tools
4) Why SAS?
5) What is SAS?
6) What SAS Solves?
7) Components of SAS
8) How can we practice Base SAS?
9) Demo

Subscribe to our channel to get video updates. Hit the subscribe button above.

Check our complete SAS Training playlist here: https://goo.gl/MMLyuN

#SASTraining #SASTutorial #SASCertification

How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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

About the Course

The SAS training course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros.

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

Why Learn SAS?

The Edureka SAS training certifies you as an ‘in demand’ SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts.

SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.

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

Who should go for this course?

This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for:

1. Analytics professionals who are keen to migrate to advanced analytics
2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist
3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics
4. Testing professionals to move towards creative aspects of data analytics
5. Mainframe professionals
6. Software developers and architects
7. Graduates aiming to build a career in Big Data as a foundational step

Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information.

Website: https://www.edureka.co/sas-training
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Customer Reviews:

Sidharta Mitra, IBM MDM COE Head @ CTS , says, "Edureka has been an unique and fulfilling experience. The course contents are up-to-date and the instructors are industry trained and extremely hard working. The support is always willing to help you out in various ways as promptly as possible. Edureka redefines the way online training is conducted by making it as futuristic as possible, with utmost care and minute detailing, packaged into the a unique virtual classrooms. Thank you Edureka!"

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

▀▀▀
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

▀▀▀
Special thanks to our Patreon supporters:
Adam Foreman, Amadeo Bee, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, Jesse Brandsoy, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, Max Maladino, Meekay, meg noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

▀▀▀
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.
Music from Epidemic Sound
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Este es el simulador de terremotos más grande del mundo, aquí te explicamos cómo funciona.

¡Suscríbete para ver todos nuestros videos! @VeritasiumES


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Learn about generative models and different frameworks, investigating the production of text and visual material produced by artificial intelligence. This course was originally recorded live.

Instructors: Krish Naik, Sunny Savita, and Boktiar Ahmed Bappy.

For course details, visit: https://ineuron.ai/course/gene....rative-ai-community-

⌨️ (00:00:00) DAY 1: Introduction to Generative AI Community Course
⌨️ (01:44:14) DAY 2: Introduction to OpenAI and understanding the OpenAI API
⌨️ (03:37:49) DAY 3: Introduction to LangChain
⌨️ (05:16:48) Day 4: Hugging Face API + Langchain
⌨️ (07:13:08) DAY 5: Memory in Langchain
⌨️ (09:07:53) DAY 6: LLM Generative AI Project using OpenAI & LangChain
⌨️ (11:03:29) DAY 7: LLM Generative AI Project & Deployment
⌨️ (13:09:02) DAY 8: Introduction to Vector Database for AI & LLM
⌨️ (14:52:41) DAY 9: Mastering Vector Databases with Pinecone
⌨️ (17:02:19) DAY 10: Mastering ChromaDB Vector Databases
⌨️ (19:04:25) DAY 11: Introducing Meta Llama 2
⌨️ (20:54:33) DAY 12: End to End Medical Chatbot Project, Part 1
⌨️ (22:36:05) DAY 13: End to End Medical Chatbot Project, Part 2
⌨️ (24:22:10) Generative AI: Everything You need to know about Gemini Pro LLM Models
⌨️ (26:16:33) End to End Gen AI Project using Google Gemini Pro
⌨️ (28:24:14) Webinar - Generative AI Revolution: The Future

🎉 Thanks to our Champion and Sponsor supporters:
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Simple and easy explanation of LLM or Large Language Model in less than 5 minutes. In this short video, you will build an intuition of how a large language model works using animation and simple story telling. This is the explanation that even a high school student can understand easily.

Simple Explanation of Neural Network: https://www.youtube.com/watch?v=ER2It2mIagI

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

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Here's the roadmap that I would follow to learn artificial intelligence (AI).
📚 Get the FREE roadmap here ➡️ https://bit.ly/data-alchemy

⏱️ Timestamps
00:00 Introduction
00:34 Why learn AI?
01:28 Code vs. Low/No-code approach
02:27 Misunderstandings about AI
03:27 Ask yourself this question
04:19 What makes this approach different
05:42 Step 1: Set up your environment
06:54 Step 2: Learn Python and key libraries
08:02 Step 3: Learn Git and GitHub Basics
08:35 Step 4: Work on projects and portfolio
13:12 Step 5: Specialize and share knowledge
14:31 Step 6: Continue to learn and upskill
15:39 Step 7: Monetize your skills
16:53: What is Data Alchemy?

🛠️ Explore ProjectPro
https://bit.ly/3q837w8

👋🏻 About Me
Hey there! I'm Dave, an AI Engineer and the founder of Datalumina, where our mission is to facilitate entrepreneurial and technological proficiency in professionals and businesses. Through my videos here on this channel, my posts on LinkedIn, and courses on Skool, I share practical strategies and tools to navigate the complexities of data, artificial intelligence, and entrepreneurship.

🎓 My Courses
https://www.skool.com/data-alchemy
https://www.skool.com/data-freelancer

✔️ How I manage my business and dev projects
https://clickup.pxf.io/k0EN9N

📊 How I'm using data to track my health
https://join.whoop.com/datalumina

🔗 Let's Connect
https://www.linkedin.com/in/daveebbelaar/
https://www.instagram.com/daveebbelaar/

📥 Datalumina's Newsletter
https://www.datalumina.com/newsletter

#ai #roadmap #datalumina

📌 Video Description
In this video, Dave shares a comprehensive and actionable roadmap for anyone looking to start their journey into the exciting world of artificial intelligence (AI) in 2024. Whether you're a complete beginner or someone looking to pivot your career towards AI, this video lays out a step-by-step guide that demystifies the process of learning AI from the ground up. Dave highlights the significance of AI in today's tech landscape and addresses common misconceptions that newcomers might have.

With a focus on practical learning, the video emphasizes the importance of choosing between a code-centric or a low/no-code approach, making AI accessible to a broader audience. Dave's unique approach involves asking a critical question that shapes the learning path, ensuring that viewers embark on a journey tailored to their goals and interests.

The roadmap detailed in the video covers essential steps such as setting up your learning environment, mastering Python and key libraries crucial for AI, understanding the basics of Git and GitHub, and the importance of working on projects to build a strong portfolio. Dave also talks about the importance of specialization and the continuous process of learning and upskilling in fields like generative AI, large language models, chatbots, and machine learning.

Furthermore, Dave shares insights on how to monetize your AI skills, turning your passion into a profession. The video concludes with an introduction to Data Alchemy, a concept that encapsulates the transformative power of AI knowledge.

For those eager to dive into the AI world, Dave offers a free roadmap accessible through the link provided in the video description. This invaluable resource serves as a compass for navigating the complexities of AI learning, making it an essential watch for anyone interested in artificial intelligence, machine learning, and related technologies.

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The ChatGPT Full Course 2024 by Simplilearn is the latest version of the ChatGPT Full Course. This course is designed to guide aspiring AI engineers in learning critical concepts in AI, machine learning, and ChatGPT models, from the basics to advanced topics. This ChatGPT tutorial by Simplilearn will cover how to use ChatGPT 4 Omni, data analysis with ChatGPT, programming with ChatGPT, automation with ChatGPT, and much more.

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➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.

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Check out the latest (and most visual) video on this topic! The Celestial Mechanics of Attention Mechanisms: https://www.youtube.com/watch?v=RFdb2rKAqFw

This is the last of a series of 3 videos where we demystify Transformer models and explain them with visuals and friendly examples.

Video 1: The attention mechanism in high level https://www.youtube.com/watch?v=OxCpWwDCDFQ

Video 2: The attention mechanism with math https://www.youtube.com/watch?v=UPtG_38Oq8o

Video 3 (This one): Transformer models

If you like this material, check out LLM University from Cohere!
https://llm.university

Get the Grokking Machine Learning book!
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Discount code (40%): serranoyt
(Use the discount code on checkout)

00:00 Introduction
01:50 What is a transformer?
04:35 Generating one word at a time
08:59 Sentiment Analysis
13:05 Neural Networks
18:18 Tokenization
19:12 Embeddings
25:06 Positional encoding
27:54 Attention
32:29 Softmax
35:48 Architecture of a Transformer
39:00 Fine-tuning
42:20 Conclusion

This video covers about Small Language Models with a cast study

⏱ Chapter Timestamps
====================
00:00 - Intro
00:28 - What is Small Language Model
02:31 - Need for SLMs?
03:00 - Case Study: Offline Applications
05:06 - SLMs in the market

Join this channel by contributing to the community:
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📌 Related Links
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🔗CoPilot+PCs - https://www.youtube.com/watch?v=5JmkWJNng2I

📌 Related Playlist
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🔗 AI Primer Playlist - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
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🔗Java 8 Streams - https://www.youtube.com/playli....st?list=PLTyWtrsGknY
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---------------------------------------------------------------
🔥 Disclaimer/Policy:
The content/views/opinions posted here are solely mine and the code samples created by me are open sourced.
You are free to use the code samples in Github after forking and you can modify it for your own use.
All the videos posted here are copyrighted. You cannot re-distribute videos on this channel in other channels or platforms.
#SmallLanguageModel #LLMs #RAG

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Hostinger: https://jsm.dev/n8n-hostinger + Use code JAVASCRIPTMASTERY
Site24x7: https://jsm.dev/n8n-site24x7

⭐ Join JS Mastery Pro: https://jsm.dev/n8n-jsm
💎 Become a Top 1% Next.js Developer: https://jsm.dev/n8n-nextjs

The Complete Testing Course is LIVE. 🔥
Master Next.js 16 and learn how to ship bug-free apps with production-ready testing.✨ https://jsm.dev/n8n-testing

📁 FREE Video Kit (Code, Figma, Assets, Etc.): https://jsm.dev/n8n-kit
‼ If the links aren’t working for you, please try using a VPN (e.g., in Nigeria)

📗 GSAP Pro Course (includes GTAVI Website): https://jsm.dev/n8n-gsap
📕 Three.js 3D Pro Course: https://jsm.dev/n8n-threejs
📙 JavaScript Pro Course: https://jsm.dev/n8n-cpjsm
🚀 Launch Your SaaS Pro Course: https://jsm.dev/n8n-saas

👉 AI Development Pro Course Waitlist: https://jsm.dev/n8n-aipro
👉 Backend Pro Course Waitlist: https://jsm.dev/n8n-backpro
👉 Tailwind Pro Course Waitlist: https://jsm.dev/n8n-tailwindpro
👉 React.js Pro Course Waitlist: https://jsm.dev/n8n-reactpro
👉 React Native Pro Course Waitlist: https://jsm.dev/n8n-nativepro

Rate us on TrustPilot: https://jsm.dev/trustpilot

https://discord.com/invite/n6EdbFJ https://twitter.com/jsmasterypro https://instagram.com/javascriptmastery https://linkedin.com/company/javascriptmastery

Business Inquiries: [email protected]

Time Stamps:
00:00:00 — Introduction
00:02:57 — What's n8n?
00:04:44 — How to use it
00:12:42 — Core concepts
00:28:38 — Integrations
00:37:17 — AI Agents
00:39:06 — Inbox Manager overview
00:49:53 — Categorize new Emails
01:03:37 — Create issue tasks
01:22:38 — Generate draft replies

We're launching Claude Code, our agentic coding tool, in a limited research preview. Claude Code lets developers delegate substantial engineering tasks to Claude directly from their terminal.

Claude Code has already become indispensable for our team. In early testing, Claude completed tasks in one pass that would normally take 45+ minutes of manual work.

With Claude Code, our goal is to better understand how developers use Claude to help improve our models for all.

In this demo, Claude Code completes complex coding tasks that would ordinarily take a significant amount of manual work. It explains an unfamiliar Next.js project, adds new functionality, creates tests, fixes build errors, and explains its changes.

Read more and join the preview: http://www.anthropic.com/news/claude-3-7-sonnet

Start building AI apps for free with lovable and use code TINA20YT for a 20% discount at https://dub.link/tina-yt
🤖 Want to get ahead in your career using AI? Join the waitlist for my AI Agent Bootcamp: https://www.lonelyoctopus.com/ai-agent-bootcamp

🤝 Business Inquiries: https://tally.so/r/mRDV99

In this video I show you how to build your first AI agent in 26 minutes using no code and n8n.

🖱️Links mentioned in video
========================
n8n Metaprompt: hhttps://docs.google.com/docume....nt/d/1OoWDiwsr9zjCoo

🔗Affiliates
========================
My SQL for data science interviews course (10 full interviews):
https://365datascience.com/lea....rn-sql-for-data-scie

365 Data Science:
https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)

Check out StrataScratch for data science interview prep:
https://stratascratch.com/?via=tina

🎥 My filming setup
========================
📷 camera: https://amzn.to/3LHbi7N
🎤 mic: https://amzn.to/3LqoFJb
🔭 tripod: https://amzn.to/3DkjGHe
💡 lights: https://amzn.to/3LmOhqk

⏰Timestamps
========================
00:00 — Intro
00:24 — What is an AI Agent?
02:16 — Quiz 1
02:34 — Building An AI Research/Learning Agent in n8n
15:28 — Agent Guardrails & Error Handling
20:03 — Agent Orchestration
24:15 — Deploying the AI Agent
24:44 — Final Result
26:20 — Quiz 2

📲Socials
========================
instagram: https://www.instagram.com/hellotinah/
linkedin: https://www.linkedin.com/in/tinaw-h/
tiktok: https://www.tiktok.com/@hellotinahuang
discord: https://discord.gg/5mMAtprshX

🎥Other videos you might be interested in
========================
How I consistently study with a full time job:
https://www.youtube.com/watch?v=INymz5VwLmk

How I would learn to code (if I could start over):
https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s

🐈‍⬛🐈‍⬛About me
========================
Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person!

📧Contact
========================
youtube: youtube comments are by far the best way to get a response from me!
linkedin: https://www.linkedin.com/in/tinaw-h/
email for business inquiries only: [email protected]

========================
Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)

In this video, you will learn how to build a customer support AI agent in 20 minutes using Zapier

Zapier Login: https://bit.ly/3K6RNcY

Download all the video resources here: https://resources.codebasics.io/fB8OqK

Do you want to learn technology from me? Check https://resources.codebasics.io/fYCzjn for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/

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📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/

📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/

🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru