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The Best Songs from Sing 2
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Movie Title: Sing 2
© Universal Pictures
#BoxofficeAnimation #Animation
🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-
00:00:00 Introduction
00:04:16 What is Generative AI?
00:17:44 Generative AI Examples
00:36:23 Generative AI Tools
00:54:10 What Is Artificial Intelligence?
01:00:14 Types Of Artificial Intelligence
01:10:29 What is Deep Learning
01:21:42 TensorFlow Explained
01:46:28 Convolutional Neural Network
02:07:04 Artificial Neural Network
02:38:55Recurrent Neural Networks
03:07:38 Keras
03:32:58 Generative AI Course - Part 1 - What is LLM?
03:52:42 What Are GANs?
04:05:03 Transformers In Gen AI
04:12:42 Prompt Engineering Explained
04:26:27 Prompt Engineering for Code Generation
04:35:46 How to Become a Prompt Engineer
04:40:50 Building a Chatbot with Prompt Engineering
04:57:00 GitHub Copilot
05:14:25 Generative AI Course - Part 2 - What is LangChain?
05:31:40 Generative AI Course - Part 3 - What is RAG?
05:54:33 Generate Images Using DC-GAN
06:19:07 Midjourney
06:37:28 OpenAI API using Python
06:45:43 Generative AI in Marketing
06:56:13 What is Agentic AI?
07:06:13 The Future of Generative AI and Job Opportunities
07:11:57 Nvidia's Latest Breakthrough in Generative AI
07:18:34 DeepSeek vs OpenAI: Who Wins the AI Race?
07:31:07 Alibaba’s Qwen 2.5-Max Just Beat GPT-4 & DeepSeek?
07:35:30 DeepSeek Training Cost
07:40:59 Exploring the 07:48:29 Ethics of Generative AI
Dangers of AI
08:11:15 Artificial Intelligence Project Ideas
08:24:52 Top 10 Benefits Of Artificial Intelligence
08:36:40 GenAI Roadmap
08:45:25 Top 5 Generative AI Career Opportunities
09:01:38 Generative AI Interview Questions
Explore *Generative AI* with this Beginner to Advanced Full Course! Learn key concepts like LLMs, GANs, Transformers, Prompt Engineering, and AI Ethics with hands-on projects. Whether you're a beginner or an AI enthusiast, this course will guide you step-by-step to mastering Generative AI. Watch now and start building with AI today
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Agentic AI is taking over conversations — but what does it really mean? In this video, we explore how Agentic AI goes beyond prompts and conversations to act, learn, and evolve — just like real-world autonomous systems. From perception to action, from reasoning to learning, we dive deep into the architecture of modern agents. You’ll learn how to build your own AI agents using tools like GPT-4, LangChain, and OpenAI's Agent SDK, and why the Model Context Protocol (MCP) is a critical layer for intelligent orchestration. Whether you're building with LLMs, deploying code autonomously, or scaling intelligent systems, this video has the insights to elevate your understanding.
My Linkedin Profile: https://www.linkedin.com/in/bytemonk/
📌 Timestamps
00:00 – Hook: Agentic AI – Hype or Reality?
00:35 – How Agentic AI Goes Beyond Autonomous AI
00:49 – Perceive, Reason, Act, Learn: The Agentic Loop
02:32 – How Modern Agents Actually Work (Architecture Breakdown)
04:14 – Real-World Example: Code Deployment Agent
05:38 – Tools to Build Agents: LangChain, Agent SDK & More
07:00 – What is MCP & Why It Matters in Agentic Workflows
07:55 – Final Thoughts: Future of AI is Agentic
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
https://www.youtube.com/playli....st?list=PLJq-63ZRPdB
AWS Certification:
AWS Certified Cloud Practioner: https://youtu.be/wF1pldkQrOY
AWS Certified Solution Architect Associate: https://youtu.be/GzomXNLFgkk
AWS Certified Solution Architect Professional: https://youtu.be/KFZrBxSA9tI
#AgenticAI #AIEngineering #LangChain #GPT4 #AutonomousAI #MCP #SoftwareEngineering
Learn how to build and deploy a SaaS using NextJS 13.4, DrizzleORM, OpenAI, Stripe, TypeScript, Tailwind, and Vercel. You will gain expertise in the following areas:
- Leveraging NextJS 13's cutting-edge App Router.
- Managing Payments seamlessly through Stripe.
- Harnessing the beauty of Shadcn and the power of Tailwind CSS.
- Unleashing the capabilities of OpenAI's API for Language Model usage.
- Interacting with databases with the efficiency of ORMs.
Resources
🔗 GitHub Repo: https://github.com/elliott-chong/chatpdf-yt
🔗 Vercel AI SDK: https://vercel.com/blog/introd....ucing-the-vercel-ai-
🔗 Timestamp 3:20:00 /api/chat/route.ts file https://pastebin.com/crLipeHK
Course developed by @elliottchong
⭐️ Contents ⭐️
⌨️ (0:00:00) Intro & Demo
⌨️ (0:09:53) Set Up NextJS
⌨️ (0:11:59) Set Up Shadcn
⌨️ (0:15:45) Set Up ClerkAuth
⌨️ (0:21:52) Home Page
⌨️ (0:33:22) DrizzleORM
⌨️ (0:50:15) File Upload Component
⌨️ (0:57:11) Set Up AWS S3
⌨️ (1:18:12) AI RAG Explanation
⌨️ (1:30:39) React Query Set Up
⌨️ (1:45:11) Set Up Pinecone DB
⌨️ (2:32:27) Chat Side Bar
⌨️ (2:47:42) PDF Viewer
⌨️ (2:50:33) Chat Component ( Vercel AI SDK )
⌨️ (3:08:02) Pinecone OpenAI Get Context
⌨️ (3:26:19) Persist Chat Logs to DB
⌨️ (3:34:16) Stripe Integration
⌨️ (4:14:59) Deploy and Outro
🎉 Thanks to our Champion and Sponsor supporters:
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A light intro to LLMs, chatbots, pretraining, and transformers.
Dig deeper here: https://www.youtube.com/playli....st?list=PLZHQObOWTQD
Technical details as a talk: https://youtu.be/KJtZARuO3JY
This was made for an exhibit at the Computer History Museum: https://computerhistory.org/
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support
No secret end-screen vlog for this one, the end-screen real estate was all full!
------------------
These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/
All code for specific videos is visible here:
https://github.com/3b1b/videos/
The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
https://open.spotify.com/album..../1dVyjwS8FBqXhRunaG5
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3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.
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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
October 17, 2025
This lecture covers:
• Pretraining
• Quantization
• Hardware optimization
• Supervised finetuning (SFT)
• Parameter-efficient finetuning (LoRA)
To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/
Chapters:
00:00:00 Introduction
00:07:19 Pretraining
00:13:26 FLOPs, FLOPS
00:16:34 Scaling laws, Chinchilla law
00:24:49 Training optimizations overview
00:31:09 Data parallelism with ZeRO
00:35:51 Model parallelism
00:38:26 Flash Attention
00:52:37 Quantization
00:56:00 Mixed precision training
01:02:31 Supervised finetuning
01:09:21 Instruction tuning
01:37:53 Parameter-efficient finetuning with LoRA
01:45:16 QLoRA
Afshine Amidi is an Adjunct Lecturer at Stanford University.
Shervine Amidi is an Adjunct Lecturer at Stanford University.
View the course playlist: https://www.youtube.com/playli....st?list=PLoROMvodv4r
🔥IIT Kanpur Professional Certificate Course In AI And Machine Learning (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=ndxvF-Eh_sg&utm_medium=DescriptionFirstFold&utm_source=youtube
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In this video, we guide you through a comprehensive Generative AI roadmap for beginners, breaking down the essential steps to kickstart your journey. From learning Python and basic machine learning concepts to diving into deep learning and building generative models like GANs and VAEs, this step-by-step guide covers everything you need. Whether you're just starting out or looking to build a solid foundation in AI, this roadmap will give you the skills and confidence to explore the exciting world of Generative AI. Don't miss out on this must-watch for aspiring AI enthusiasts!
✅ How to learn gen AI for beginners?
To learn Generative AI as a beginner, start by mastering Python and basic machine learning concepts. Then, explore deep learning frameworks like TensorFlow or PyTorch. Study neural networks and dive into generative models like GANs and VAEs. Practice with hands-on projects to build real-world experience.
✅ Does generative AI require coding?
Yes, generative AI typically requires coding, especially in languages like Python. You’ll need to understand coding to work with frameworks such as TensorFlow or PyTorch, build models, and manipulate data. However, some tools and platforms now offer low-code or no-code solutions for those with limited programming skills.
✅ Is AI highly paid?
Yes, AI professionals are highly paid due to the increasing demand for specialized skills in machine learning, data science, and AI development. Roles like AI engineers, data scientists, and machine learning specialists command high salaries, reflecting the value of AI expertise in industries like tech, healthcare, finance, and more.
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#genairoadmapforbeginners #genairoadmapforbeginnersandexperts #genAIRoadmap #careerInGenAI #GenAi #simplilearn #2024
➡️ 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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- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
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- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
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- And Many More…
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🔥Enroll for Agentic AI Course: https://intellipaat.com/agenti....c-ai-systems-design-
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Learn the future of AI with this complete Agentic AI course by Intellipaat. In this video, you’ll understand the difference between Generative AI and Agentic AI, explore AI Agents, LangChain, Embeddings, Large Language Models (LLMs), RAG Agents, and Model Context Protocol (MCP) with detailed explanations and practical insights.
This Agentic AI Full Course for Beginners 2026 is designed for students, developers, and professionals who want to build a strong foundation in autonomous AI systems and modern AI workflows. From Agentic AI design patterns to frameworks and real-world AI concepts, this course covers everything step-by-step for beginners as well as intermediate learners.
Topics Covered: Introduction to Agentic AI, Generative AI vs Agentic AI, Generative AI Systems, LangChain, AI Agents, Agentic AI Design Patterns, Agentic Frameworks, Embeddings, Large Language Models, RAG Agents, and MCP. Start learning with Agentic AI Full Course for Beginners 2026 and stay ahead in the AI revolution.
📖 Below are the concepts covered in the video on "Agentic AI Full Course":
00:00:00 – Introduction to Agentic AI Course
00:01:26 – Generative AI vs Agentic AI
00:11:05 – What is a Generative AI System?
01:03:56 – What is LangChain
01:23:40 – AI Agents
01:41:58 – Agentic AI Design Patterns
02:33:45 – Agentic Frameworks & Basics
04:34:33 – Embeddings
05:06:01 – Large Language Model
06:54:12 – RAG Agent
07:52:14 – Model Context Protocol
#AgenticAI #AIAgents #LangChain #RAG #LLM #ArtificialIntelligence #GenerativeAI #Intellipaat
➡️ About the Course
The Agentic AI Systems & Design course by Intellipaat is an advanced program focused on building autonomous AI agents that can plan, reason, and execute tasks using tools like APIs, coding environments, and web search. Unlike traditional Generative AI courses, this program goes beyond prompt-based outputs and teaches you how to design production-grade AI systems capable of independent decision-making and complex problem-solving. It is ideal for professionals such as data scientists, AI/ML engineers, and developers who want to move from basic AI usage to creating intelligent, real-world applications powered by agentic workflows
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GPT is the first of the papers which proved the effectiveness of unsupervised pre-training for language processing tasks. This video is about GPT-1 which became quite an impactful work in the series of GPT papers that we now have (GPT-2 and GPT-3).
Paper: https://www.cs.ubc.ca/~amuham0....1/LING530/papers/rad
code: https://github.com/openai/finetune-transformer-l
Official OpenAI blog: https://openai.com/blog/language-unsupervised/
Paper Abstract:
Natural language understanding comprises a wide range of diverse tasks suchas textual entailment, question answering, semantic similarity assessment, anddocument classification. Although large unlabeled text corpora are abundant,labeled data for learning these specific tasks is scarce, making it challenging fordiscriminatively trained models to perform adequately. We demonstrate that largegains on these tasks can be realized bygenerative pre-trainingof a language modelon a diverse corpus of unlabeled text, followed bydiscriminative fine-tuningon eachspecific task. In contrast to previous approaches, we make use of task-aware inputtransformations during fine-tuning to achieve effective transfer while requiringminimal changes to the model architecture. We demonstrate the effectiveness ofour approach on a wide range of benchmarks for natural language understanding.Our general task-agnostic model outperforms discriminatively trained models thatuse architectures specifically crafted for each task, significantly improving upon thestate of the art in 9 out of the 12 tasks studied. For instance, we achieve absoluteimprovements of 8.9% on commonsense reasoning (Stories Cloze Test), 5.7% onquestion answering (RACE), and 1.5% on textual entailment (MultiNLI).
AI Bites
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This short video on AWS will cover the basics of AWS in just 10 minutes. Watch complete AWS Tutorial For Beginners to learn more!
🔥Post Graduate Program In Cloud Computing: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=AWS-r4YIdn2eTm4&utm_medium=DescriptionFirstFold&utm_source=youtube
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This AWS tutorial video(Amazon web services) is designed to help you in understanding about AWS(Amazon web services) architectural principles and services - in just 10 minutes. You will learn how cloud computing is redefining the rules of IT infrastructure architecture, as well as how to design, plan, and scale your AWS Cloud implementation with best practices recommended by Amazon. This tutorial is ideal for beginners to learn what is AWS(Amazon web services) all about.
Below are the topics covered in this AWS Tutorial((Amazon web services tutorial)
-( 00:29 ) What is AWS(Amazon web services)
-( 01:38 ) Why AWS(Amazon web services) is such a hit?
-( 03:54 ) AWS Services Overview
-( 06:04 ) AWS Pricing(Amazon web services pricing)
-( 07:56 ) AWS Future( Future of Amazon web services)
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This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.
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- Caltech CTME Post Graduate Certificate
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- 40+ Hands-On Projects and Integrated Labs
✅ Skills Covered
- Cloud Provider Selection
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Want to build your own ChatGPT or learn the advanced ways to use Chat GPT? This video will be a more advance tutorial about OpenAI and its AI models, how to do prompts, generate content, and finally build an application based on its API.
⭐ New - Teach Me OpenAI Digital Book ⭐
https://enhanceui.gumroad.com/l/teach-me-openai
I've put together a easy to understand book with ~60 pages about OpenAI and GPT with how to get started to integrate it into projects, code examples, and much more!
Try the OpenAI Template - Starter Kit I've made
https://enhanceui.gumroad.com/....l/chatgpt-starter-te
This is new and ready for those looking to kickstart their own app or website using the OpenAI GPT models. I've built it on MERN it should save you over 100 hours if you want to build or test your own ideas! This also supports the channel if you have found these videos of benefit!
New - ChatGPT Starter Kit
https://enhanceui.gumroad.com/....l/chatgpt-template-s
00:00 - Introduction
00:55 - OpenAI Template Starter Kit
01:40 - Part 1. Prompt Engineering for ChatGPT & AI
02:29 - Part 1. Examples of Chat GPT Prompts
03:58 - Part 1. OpenAI Playground and Promps
04:53 - Part 1. Example 1 AI Q&A Prompt
06:45 - Part 1. Example 2 AI Airport Prompt
08:00 - Part 1. Example 3 AI Code Prompt
09:42 - Part 2. OpenAI Models and Uses
10:35 - Part 2. GPT3 Models Davinci Curie etc
11:54 - Part 2. Coding Models Codex, Crushman
12:41 - Part 2. OpenAI API Pricing and Tokens
13:44 - Part 2. Comparing AI Model and Outputs
15:18 - Part 2. Prompt variables for Temp, Length etc
16:55 - Part 2. OpenAI Fine-tuned models
17:26 - Part 2. Summary and Recap
17:47 - Part 3. Technical Chat GPT Introduction
18:00 - Part 3. Dependencies (NodeJS, CRA, API Keys, etc)
18:50 - Part 3. Create React Application
19:30 - Part 3. Express Web API
21:09 - Part 3. Frontend React JS Component setup
22:46 - Part 3. Backend Express OpenAI API setup
26:10 - Part 3. Fetch data from Client to Server to API (OpenAI)
29:44 - Part 3. Intro to Advanced Uses API
30:10 - Part 3. Example 1: Advanced API ChatGPT like Chatbot
35:21 - Part 3. Example 2: Advanced Terminal Chat GPT bot
36:41 - Conclusion
This video focused on the more advanced and technical aspects of GPT3 and its models. If you want a more beginner video on ChatGPT, I've you can access the following ones below:
1. What is ChatGPT
https://youtu.be/40Kp_fa8vIw
2. ChatGPT Tutorial for Beginners
https://youtu.be/JTxsNm9IdYU
3. How to use ChatGPT
https://youtu.be/3aV5-q8vRz8
#chatgpt #ai #openai
Discord: https://www.editorx.com/editor-x/codex
The world is entering a new era of warfare, with cyber and autonomous weapons taking center stage. These technologies are making militaries faster, smarter, more efficient. But if unchecked, they threaten to destabilize the world.
DW takes a deep dive into the future of conflict, uncovering an even more volatile world. Where a cyber intrusion against a nuclear early warning system can unleash a terrifying spiral of escalation; where “flash wars” can erupt from autonomous weapons interacting so fast that no human could keep up.
Germany’s Foreign Minister Heiko Maas tells DW that we have already entered the technological arms race that is propelling us towards this future. “We’re right in the middle of it. That’s the reality we have to deal with.”
And yet the world is failing to meet the challenge. Talks on controlling autonomous weapons have repeatedly been stalled by major powers seeking to carve out their own advantage. And cyber conflict has become not just a fear of the future but a permanent state of affairs.
DW finds out what must happen to steer the world in a safer direction, with leading voices from the fields of politics, diplomacy, intelligence, academia, and activism speaking out.
Chapters
00:00 - Introduction
02:37 - The Cyber Nuclear Nightmare
17:05 - Flash Wars And Autonomous Weapons
30:12 - Trading Markets And Flash Crashes
31:45 - Time To Act
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#FurureWars #AutonomousWeapons #CyberAttacks
"Hold me" by ØGM is one of those tracks that you need to have in your car while driving at 3 AM when you take a break from reality. A chill track that will surely require the repeat button on. Enjoy! 👌🏻
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https://www.youtube.com/channe....l/UCxs8r_GaKqb3RUZjc
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Welcome to Intro to Deep Learning! This course is for anyone who wants to become a deep learning engineer. I'll take you from the very basics of deep learning to the bleeding edge over the course of 4 months. In this video, we’ll predict an animal’s body weight given it’s brain weight using linear regression via 10 lines of Python. I’ll have a live session every Wednesday at 10 AM PST that covers my weekly video topics in depth. You can click on the little notification bell next to the subscribe button to get an email notification whenever I’m live. And each session is recorded and uploaded to this channel in case you miss it. This Youtube content is 100% created by me (from the writing to the editing, etc.) , it’ll all be released on my channel, and it’s totally free.
I am also very proud and excited to announce my new, exclusive partnership with Udacity. Together, we’re offering the new Deep Learning Nanodegree Foundation program. If you want to take your game to the next level, this is for you! Especially since Udacity will be providing guaranteed admission to their groundbreaking Artificial Intelligence and Self-Driving Car Nanodegree programs to all graduates. They’re offering discounted limited-time pricing, so enroll now to enjoy the unique projects, program sets, and expert reviews. Plus, their community is amazing, so don’t forget to join the Slack channel after you enroll (I’ll be in there too!) And hey, I’m getting paid a small royalty from each enrollment, so let’s do this together!
Link to the Udacity nanodegree:
https://www.udacity.com/course..../deep-learning-nanod
Please Subscribe! And like. And comment. That’s what keeps me going.
This weeks coding challenge (these weekly challenges are not related to the Udacity nanodegree projects, those are additional):
https://github.com/llSourcell/....linear_regression_de
Mick’s winning code:
https://github.com/mickvanhulst/q_learning
Vishal’s runner-up code:
https://github.com/erilyth/Q-Learning-on-Mazes
More learning resources:
http://machinelearningmastery.....com/a-tour-of-machin
https://docs.microsoft.com/en-....us/azure/machine-lea
https://www.toptal.com/machine....-learning/machine-le
https://onlinecourses.science.....psu.edu/stat501/node
http://machinelearningmastery.....com/simple-linear-re
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
The vast majority of this course will use Tensorflow. It's just this first example that's using scikit-learn.
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
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Hit the Join button above to sign up to become a member of my channel for access to exclusive content! Join my AI community: http://chatgptschool.io/ Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
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#ChatGPTExpertCourse #ChatGPT Expert #ChatGPT #ChatGPTForBeginners #ChatGPT #Chat_GPT #ChatGPTTutorial #ChatGPTForBeginners #Simplilearn
➡️ About Caltech Post Graduate Program In AI And Machine Learning
Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts
✅ Skills Covered
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision
👉 Enroll Now: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=28August2023LGLoopEvening1-lLI4gjk24UE&utm_medium=Description&utm_source=youtube
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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
February 6, 2026
This lecture covers:
• A randomized controlled trial examining the impact of AI-mediated feedback on students' disciplinary writing performance and learning
• An introduction to and evaluation of FeedbackWriter
• How knowledge engineering can enhance cognitive fidelity and enable reliable feedback generation
To follow along with the seminar schedule, visit: https://hci.stanford.edu/
Xu Wang is an Assistant Professor in Computer Science and Engineering and the School of Information (By courtesy) at the University of Michigan.
https://github.com/aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning - aamini/introtodeeplearning
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"🔥 Large Language Models (LLMs) Course with Generative AI : https://www.edureka.co/generative-ai-llms-course
In this video on ""What is LLM"" we'll dive into large language models (LLMs), powerful AI systems trained on massive text datasets to understand and generate human-like language. We'll introduce the concept of LLMs, explain how they leverage deep learning and self-attention mechanisms, and Discover examples of large language models like Google's LLaVA, OpenAI's GPT-3, and Microsoft's Turing-NLG, which power LLM's capabilities. We'll explore their impressive capabilities in tasks like text generation, summarization, question answering, and translation, as well as their real-world applications across industries.
In this informative video on What is LLM, we will cover the following Topics:
✅ 00:00 - Introduction to Large Language Model
✅ 01:03 - What is LLMs?
✅ 01:48 - Examples of LLMs
✅ 02:01 - Applications of LLMs
✅ 02:36 - How does LLM works?
✅ 03:57 - Understand Working of LLM With an Example
"
"✅Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
📝Feel free to share your comments below.📝
𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
🔵 Large Language Models (LLMs) Course with Generative AI : https://rb.gy/fg3mdt
🌕 Data Science with Python Certification Course: https://bitly.ws/37EhS
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🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
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- - - - - - - - - - - - - -
About Large Language Models (LLMs) Course with Generative AI
Edureka's course on Large Language Models with Generative AI offers a transformative journey into the intricacies of LLMs. Delve deep into content generation and application development, gaining the expertise to create innovative solutions. Enroll now to become a trailblazer in this rapidly evolving domain.
- - - - - - - - - - - - - -
Who should go for this course?
This course on Large Language Models is suitable for data scientists, software developers, and AI researchers aiming to advance their expertise in natural language processing and utilize LLMs in their projects. Additionally, professionals in content creation, marketing, and customer service seeking to leverage LLMs for text generation and analysis can benefit from this course.
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What are the Prerequisites for this course?
The prerequisites for this course on Large Language Models include a basic understanding of machine learning concepts, proficiency in programming languages such as Python, and familiarity with natural language processing fundamentals. Additionally, knowledge of deep learning frameworks like TensorFlow or PyTorch would be beneficial for participants.
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: +18338555775 (toll-free).
#Edureka #largelanguagemodel #llm #llmmachinelearning #generativeai #edurekacourse"
