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Over the past five years, Transformers, a neural network architecture, have completely transformed state-of-the-art natural language processing. Want to translate text with machine learning? Curious how an ML model could write a poem or an op ed? Transformers can do it all. In this episode of Making with ML, Dale Markowitz explains what transformers are, how they work, and why they’re so impactful. Watch to learn how you can start using transformers in your app!
Chapters:
0:00 - Intro
0:51 - What are transformers?
3:18 - How do transformers work?
7:41 - How are transformers used?
8:35 - Getting started with transformers
Watch more episodes of Making with Machine Learning → https://goo.gle/2YysJRY
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
#MakingwithMachineLearning #MakingwithML
product: Cloud - General; fullname: Dale Markowitz; re_ty: Publish;
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/microse....rvices-architecture- (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka Microservices Training (Microservices Blog Series: https://goo.gl/WA5k9u) will help you to implement Microservices with the help of Docker and Node js.
This video helps you to learn following topics:
• Use Case
• Before and After Microservices
• Microservices Architecture
• What Is Docker
• How Docker Is Useful for Microservices
• Implementation of The Use Case
• Edureka’s Microservices Course Content
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Simplilearn's "Data Structure Full Course 2023" video will include the "Data Structures Complete Course Using C and C++." We will cover every topic of data structure, from the basics to the advanced level. Common data structures include arrays, linked lists, stacks, queues, trees, and graphs. Each of these data structures has pros and cons, and choosing the best one for your problem can enhance the performance and maintainability of your code dramatically.
✅01:54 What is a data structure?
✅07:56-What is an algorithm?
✅19:33-Pointers in data structure
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✅1:51:13-Doubly linked list explained
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✅5:19:48-Stack vs Queue
✅5:30:09-Tress in data structure
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What is data structure?
The data structure aims to store the elements in a way that allows it to perform a specified activity. It requires the least amount of memory capacity, allows for faster execution, and aids in data organization to improve accessibility. Data structures are the most convenient way to handle, retrieve, store, and organize data.
What is an Algorithm?
The algorithm is a step-by-step procedure or set of instructions to be followed to perform certain tasks.
What is a pointer?
A pointer is a variable that holds the address of another variable to be executed which can be of data type int, char, array, etc…
What is an Array?
An array is a homogenous collection of elements of the same data type; That means similar types of elements are stored under one name called an array name. And also the array of elements, stored in a consecutive block of memory.
What is a linked list?
A linked List is a linear data structure consisting of nodes. Each node in a linked list is divided into two sections that hold data and the address of the successive node, stored at the random address in the memory.
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Meet Your Etsy Shop Assistant! How to Train GPT-4 for an Etsy Shop, Step-by-Step Tutorial w/ Prompts
In this step-by-step video, I show you how to train GPT-4 to create high-quality content for your Etsy shop, including shop about sections, product descriptions, and more.
CHAPTERS:
0:00 Intro
5:30 How to Train GPT-4 to be Your Etsy Shop Assistant
15:43 Create An About Section for Your Etsy Shop
35:02 Check ChatGPT for Plagerism
40:32 Conclusion
ChatGPT https://chat.openai.com
Grammarly https://grammarly.go2cloud.org/SH3Tu
Erank https://www.erank.com
PROMPTS
Prompt 1 "I want to train you to be my Etsy Shop Assistant. Your primary duties as my assistant will be writing copy for my shop and its listings and advising me on decisions. I will give you training materials directly from Etsy, search data research, and advice from my experience as an Etsy Shop owner. Follow my training and guidance strictly, learn from your mistakes, and ask questions whenever you require more information. The most common example of when you will need to ask me questions is: a task is presented to you, and you cannot complete it at the highest possible level of performance. It is essential to ask me questions for more information if you think it will benefit the copywriting or advice you provide."
Prompt 2 "Our first task will be to write an About section for my shop. The information above is training materials from Etsy regarding creating a great about section. What additional information do you need from me to write the best About section possible for my shop?"
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Subscribe and leave a comment!
Let us know how your thoughts and insights.
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Disclosure: This post may contain affiliate links, meaning a commission may be paid if you decide to make a purchase after clicking through, at no cost to you.
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(** PMP® Training: https://www.edureka.co/pmp-cer....tification-exam-trai **)
This Edureka tutorial on Project Scope Management will give you an insight into the various process and activities covered in the Scope Management of a Project. In this tutorial you will learn the below topics:
01:32 Project Scope Management
06:15 Scope Management Overview
09:41 Scope Management Processes
Check out our PMP Tutorial blog series: http://bit.ly/2BvgNE4
Check out our complete Youtube playlist here: http://bit.ly/2AnvOqJ
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#ScopeManagement #ProjectScopeManagement #ProjectManagement #PMPOnlineTraining #PMPCertification #ProjectManagementProfessionalCertification
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How does it work?
1. This is a 4 Week Instructor-led Online Course.
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. At the end of this course, you will be awarded a 35 Contact Hours certificate that is mandatory to apply for PMP® examination.
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About The Course
Online PMP® exam prep course is designed to help aspiring professionals earn PMP® certification in the first attempt. The goal of this course is to empower the current and future Project Managers to manage the project more efficiently and effectively throughout the Project Management Life Cycle.
This course is taught by PMP® Certified Trainers, who have years of experience in training. These instructors have been practicing Project and Program Management with some of the top organizations across industries. They leverage their rich, hands-on industry experience to help participants understand the practical application of all the 10 knowledge areas covered in ‘The PMBOK® Guide’ (A Guide to the Project Management Body of Knowledge) – Sixth Edition.
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Who should go for this course?
PMP® Certification is useful for anyone who has Project Management experience and desires a globally recognized credential that will lead to professional career growth and recognition.
-----------------------------------------------------------------------
Why learn PMP Certification?
Project Management Professional (PMP)® is a global credential offered by PMI Inc. PMP® Certification is a globally recognized, rigorous, education and/or professional experience, and examination-based credential program. It helps one understand the global language of Project Management and connect with Project Management Professionals. PMP certified professionals earn a higher salary than those not certified.
If you are looking for PMP training, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).
Learn how to fine tuning LLM models. This course will teach you fine tuning using using QLORA and LORA, as well as Quantization using LLama2, Gradient and the Google Gemma model. This crash course includes both theoretical and practical instruction to help you understand how to perform fine tuning.
💻 Code: https://github.com/krishnaik06/Finetuning-LLM
✏️ Course developed by @krishnaik06
⌨️ (0:00:00) Introduction
⌨️ (0:01:39) Quantization Intuition
⌨️ (0:34:03) Lora And QLORA Indepth Intuition
⌨️ (0:56:26) Finetuning With LLama2
⌨️ (1:20:35) 1 bit LLM Indepth Intuition
⌨️ (1:37:33) Finetuning with Google Gemma Models
⌨️ (1:59:45) Building LLm Pipelines With No code
⌨️ (2:20:33) Fine tuning With Own Custom Data
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Unlock the secrets to rapid skill acquisition with our latest YouTube guide How To USE CHATGPT To LEARN Any SKILL You Want Quickly. Learn the smart strategies and ChatGPT prompts that can turbocharge your learning journey. Whether you're aiming to master a new language, pick up coding, or delve into the arts, this video is your roadmap to success. We'll walk you through creating a personalized learning plan with ChatGPT, leveraging its AI power to simplify complex concepts, and effectively practice for real-world proficiency. No more guesswork - just focused, accelerated learning with the power of prompts. Our step-by-step tutorial ensures that your learning process is efficient, enjoyable, and effective
00:00 How To Use ChatGPT To Learn Any Skill
03:36 Mentorship Through ChatGPT
Utilizing ChatGPT for Accountability
Information Condensation
Knowledge Assessment
Resource Identification for Learning:
Anticipating Learning Challenges
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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.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
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SONG CREDITS:
CAST - YO YO HONEY SINGH & HEERA SOHHAL
SINGER: YO YO HONEY SINGH
MUSIC PRODUCER: YO YO HONEY SINGH
PRIMARY LANGUAGE(S): PUNJABI & ENGLISH
GENRE: HIP HOP / RAP
LYRICS WRITER: LEO GREWAL
MUSIC COMPOSER: YO YO HONEY SINGH
RECORDED AT MOSIQI STUDIOS AND LPME STUDIOS, DUBAI.
MASTERED BY - HOMMIE DILLIWALA
MIXING BY - VINOD VERMA
MUSIC LABEL - T-SERIES
DIRECTOR : TEJI SANDHU
DOP : SIMON STOLLAND
PRODUCTION :TEN PLUS ONE PRODUCTION UK
YYHS STYLING- AKANKSHA BHAKOO
MUA - JIND KAUR AND TRIPTI
ASSISTANT DIRECTOR: KARANDEEP SINGH AND SOURAV DHEER
EDIT : SAMUEL MATON
COLOURIST: MISHA KIM
LINE PRODUCER - MANDEEP HUNDAL
DIGITAL STRATEGY : RAJDEEP MAYER
DIGITAL MARKETING & PROMOTIONS : RDM MEDIA
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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
Attention mechanisms are crucial to the huge boom LLMs have recently had.
In this video you'll see a friendly pictorial explanation of how attention mechanisms work in Large Language Models.
This is the first of a series of three videos on Transformer models.
Video 1: The attention mechanism in high level (this one)
Video 2: The attention mechanism with math: https://www.youtube.com/watch?v=UPtG_38Oq8o
Video 3: Transformer models https://www.youtube.com/watch?v=qaWMOYf4ri8
Learn more in LLM University! https://llm.university
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Want to build AI agents but think you need to code? Wrong. In this video, I show you exactly how to create production-ready AI agents from scratch using three platforms: OpenAI Agent Builder, Botpress, and Zapier AI Agents.
You'll see the full workflow—from blank canvas to live agent—including:
✅ Knowledge base setup with RAG
✅ Real-time testing and deployment
✅ Multi-channel publishing (WhatsApp, Slack, web chat)
✅ Lead collection workflows
✅ Cost comparison and scaling strategies
🎯 WHAT YOU'LL LEARN:
• How to use ChatGPT to write agent prompts for you
• Setting up FAQ bots, customer support agents, and lead collectors
• Connecting knowledge bases (PDFs, websites, Notion)
• Deploying agents across WhatsApp, websites, and messaging platforms
• Why most platforms mark up LLM costs 30-50% (and how to avoid it)
• Which platform fits your use case: internal tools vs customer-facing agents
⚙️ PLATFORMS COVERED:
→ OpenAI Agent Builder: Fast setup, internal tools, shareable links
→ Zapier AI Agents: Automation workflows, trigger-based actions
→ Botpress: Production-grade agents, 190+ integrations, no LLM markup
📂 TIMESTAMPS:
0:00 — Build AI Agents Without Coding
1:09 — How to Build an AI Agent with OpenAI
3:49 — How to Build an AI Agent with Botpress
6:26 — Knowledge Base & RAG System
8:00 — Choosing Your LLM Model
8:41 — Testing & Deployment
9:11 — How to Build an AI Agent with Zapier
12:32 — Lead Collection Workflows in Botpress
15:32 — Deployment Across Channels
17:21 — Why Botpress for Production
🚀 START BUILDING TODAY:
The hardest part isn't building—it's starting. Pick one platform, sign up, and build your first agent this week. Start with a simple FAQ bot or lead collector, test it, deploy it, and scale from there.
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#AIAgents #NoCoding #ChatGPT #Botpress #Zapier #AIAutomation #CustomerSupport
Claude Code isn’t just another coding tool. t’s a game-changer for automation, DevOps, and productivity. Imagine combining the simplicity of Unix commands with the intelligence of an AI-powered assistant. That’s what Claude Code delivers.
From coding support to system maintenance, from workflow automation to custom commands, Claude Code is becoming an essential tool across industries.
🔥 Watch now and see how it can transform the way teams work.
#ClaudeCode #Anthropic #Claudeai #Coding #AITools #Automation #DevOpsCommunity #ProductivityTools #kodekloud
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.
MIT Introduction to Deep Learning 6.S191: Lecture 4
Deep Generative Modeling
Lecturer: Ava Amini
** New 2025 Edition **
For all lectures, slides, and lab materials: http://introtodeeplearning.com
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