Top videos
State Space Models (SSMs) are a new architecture that is revolutionizing Large Language Models. Learn about them in this friendly video!
00:00 Introduction
00:33 Example of state space models
10:34 SSMs for language generation
17:40 Mamba
18:32 Convolutions
Grokking Machine Learning, by Luis Serrano
www.manning.com/books/grokking-machine-learning
40% discount code: serranoyt
Dr. Raj Dandekar (MIT PhD) conducted a 7-hour small language model workshop. This is part 2 of that workshop.
In this, we cover the following four aspects:
1. 00:00 Recap of part 1: data pre-processing, tokenization, input-output pairs
2. 10:55 Building blocks of the SLM architecture
3 01:08:34 Attention Mechanism Explained
If you want to get access to the detailed lecture notes, register here: https://vizuara.ai/courses/bui....ld-slm-from-scratch-
Agents are everywhere these days, but with so much information available, it’s easy to feel overwhelmed. Most tutorials and videos focus on specific frameworks without covering the fundamental principles behind these systems.
This course takes a different approach. Over four modules, you'll learn to implement the four core agentic patterns from scratch, using just Python and Groq LLMs:
* Reflection Pattern
* Tool Use Pattern
* Planning Pattern
* Multi-Agent Pattern
Explore the written lessons on my Substack blog:
https://theneuralmaze.substack.com/
Check out the code here:
https://github.com/neural-maze/agentic_patterns
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If you like this content, you can also follow me here:
📩 Substack - https://theneuralmaze.substack.com/
💼 LinkedIn - https://www.linkedin.com/in/migueloteropedrido/
💻 GitHub - https://github.com/MichaelisTrofficus
🐦 Twitter - https://x.com/moteropedrido
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0:00 Introduction
2:48 Module 1 - Reflection Pattern
20:40 Module 2 - Tool Pattern
44:22 Module 3 - Planning Pattern
1:13:16 Module 4 - MultiAgent Pattern
1:41:00 Conclusion
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/ mehulchoudhary
Creative Commons — Attribution 3.0 Unported — CC BY 3.0
Free Download / Stream: https://bit.ly/3wVnIXs
Music promoted by Audio Library https://bit.ly/3TDW3TT
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Carefree by Kevin MacLeod http://incompetech.com
Creative Commons — Attribution 4.0 International — CC BY 4.0
Free Download / Stream: https://bit.ly/_carefree
Music promoted by Audio Library • Carefree – Kevin MacLeod (No Copyrigh...
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Music ⓒ - Kevin MacLeod
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Track: Morocco — Amine Maxwell [Audio Library Release]
Music provided by Audio Library Plus
Watch:
• Morocco — Amine Maxwell | Free Backgr...
Free Download / Stream: https://alplus.io/morocco
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🔑 TIMESTAMPS
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0:00 - Intro
0:58 - Are AI agents just hype?
1:57 - Popular agentic applications
2:54 - AI agent project ideas
4:48 - Ways to build an AI agent
7:26 - Coding agents Junie (sponsor)
8:31 - Crash course on AI agents
15:31 - Building your first AI agent - Project walkthrough
51:50 - Conclusions
#ai #python #agent
In this video, I dive into the world of agentic AI, a concept that's set to be a major buzzword in 2025. We explore how agentic AI combines multiple agents—some of which are language models (LLMs) and others that are tools—to create more sophisticated and effective AI workflows. We walk through a simple example of how an AI agent can draft a marketing plan, another can critique it, and a third can refine it based on the feedback. We also discuss how some agents can be tools, like a Google search to gather data, and how an orchestrator agent can manage the entire process, adjusting steps as needed.
Leave me a comment if you have new topics I should be discussing.
Check out my LinkedIn: https://www.linkedin.com/in/donwoodlock/
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YouTube Timestamps
0:00 – 0:20 Welcome
0:21 – 0:50 Introduction to the concept of Agentic AI
0:51 – 3:50 Explanation of how Agentic AI works
3:50 – 4:08 Advertisement plug-in
4:08 – 5:20 Example of using compound LLM’s
5:21 – 5:55 Why you should use a compound LLM approach
5:57 – 6:45 Best way to train and use LLM’s for optimal outcome
6:45 – 7:40 How to think of LLM as agents
7:41 – 10:05 Not every agent needs to be an LLM
10:06 - 10:50 Possibility of having an orchestrator agent
10:51 – 12:50 How to use these agents
12:51 – 13:26 Closing remarks
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#agenticai #aiagents #LLM
MIT 18.642 Topics in Mathematics with Applications in Finance, Fall 2024
Instructor: Jake Xia
View the complete course: https://ocw.mit.edu/courses/18....-642-topics-in-mathe
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6
In this video Jake Xia provides an overview of key financial concepts, including market structure, types of financial products like stocks, bonds, derivatives, and the roles of various market participants. He also introduces investment strategies, emphasizing the importance of understanding personal financial goals, risk management, and the use of mathematical models in pricing and trading, culminating in a practical trading game to apply these concepts.
License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu
Support OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.
Learn about Stanford's online artificial intelligence professional and graduate programs:
https://stanford.io/3CDAIOV
Stanford Online Graduate and Professional AI programs provide the foundational and advanced skills you need to accelerate your career in AI, including machine learning, reinforcement learning, neural networks, and natural language processing and understanding. Learn about the differences between the programs in this video.
#artificialintelligence #machinelearning #deeplearning #reinforcementlearning #neuralnetworks #naturallanguageprocessing
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education
December 5, 2025
This lecture covers:
• Recap
• Trending topics
• Closing thoughts
To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/
Chapters:
00:00:00 Introduction
00:01:12 Transformer
00:06:35 Transformer-based models & tricks
00:11:17 Large Language Models
00:15:05 LLM training
00:24:09 LLM tuning
00:29:41 LLM reasoning
00:38:37 Agentic LLMs (RAG, tool calling)
00:44:09 LLM evaluation
00:48:57 Vision Transformer
01:04:02 Diffusion-based LLMs
01:23:38 Closing thoughts
01:50:16 Thank you!
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
Learn how to use AI tools to become more productive as a developer.
You will master AI pair programming and agentic terminal workflows using top-tier tools like GitHub Copilot, Anthropic's Claude Code, and the Gemini CLI. The course also covers open-source automation with OpenClaw, teaching you how to set up a highly customizable, locally hosted AI assistant for your development environment. Finally, you will learn how to maintain high code quality and streamline your team's workflow by integrating CodeRabbit for automated, AI-driven pull request analysis.
Some of this course is based on this article from Mrugesh Mohapatra: https://www.freecodecamp.org/n....ews/how-to-become-an
CodeRabbit provided a grant to make this course possible.
Try out CodeRabbit: https://coderabbit.link/fcc
Contents
- 0:00:00 Introduction to AI-Assisted Development
- 0:00:42 Core Fundamentals: Tokens, Context Windows, and Hallucinations
- 0:05:48 When to Use AI vs. When to Code Manually
- 0:06:57 Setting Up GitHub Copilot in VS Code
- 0:09:42 Copilot Pricing and Plans
- 0:10:18 First Steps: Ghost Text and Code Completions
- 0:13:40 Pro Tip: The Neighboring Tabs Trick
- 0:15:52 Practice Exercise: Building a To-Do App
- 0:17:15 Interaction Modes: Ask, Edit, and Agent Mode
- 0:21:44 Agent Mode: Building a Full REST API Autonomously
- 0:24:52 Repository Customization with Instruction Files
- 0:26:34 Using Participants and Slash Commands
- 0:28:34 Automated Code Reviews with CodeRabbit
- 0:30:57 Setting Up CodeRabbit for GitHub Repositories
- 0:32:03 Simulating Real-World PR Reviews and Security Fixes
- 0:37:33 Chatting with AI Directly in Pull Requests
- 0:41:12 Configuring CodeRabbit Behaviors (.yaml)
- 0:41:58 Local Reviews via the CodeRabbit CLI
- 0:48:13 Powerful Terminal AI: Claude Code vs. Gemini CLI
- 0:49:12 Claude Code: Reasoning, Thinking Modes, and Fixes
- 0:53:02 Gemini CLI: Million-Token Context and Multimodal Features
- 0:57:01 OpenClaw: Your Open-Source Personal AI Assistant
- 1:01:01 Automating Tasks with Cron Jobs and Desktop Actions
- 1:03:33 Orchestrating Your AI Workflow
- 1:08:27 Model Context Protocol (MCP): Giving AI Real-World Tools
- 1:12:40 AI Code Quality and Security Essentials
- 1:15:03 The Formula for Better Prompt Engineering
- 1:16:13 Course Recap and Final Resources
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04:46:02 - Requirement Analysis and Design
07:52:40 - Requirement Modelling
09:22:55 - Business Analyst Interview Question
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This Artificial Intelligence Course suits those who aspire to become AI Engineers
🔵 Following topics are covered in this Artificial Intelligence Course 2024
00:00:00 - Introduction to Artificial Intelligence Course
00:02:50 - What is Artificial Intelligence
00:06:41 - Why Artificial Intelligence
00:57:34 - Machine Learning Types
01:09:00 - Introduction to Deep Learning
02:51:03 - Benefits of Using Artificial Neural Network
02:56:17 - Deep Learning Frameworks
03:09:21 - Data Handling with NumPy
03:31:33 - Introduction to TensorFlow
05:42:50 - Understanding Epoch
06:11:05 - Introduction to Keras
07:06:11 - Predefined Neural Network Layers
09:09:16 - Problem With a Fully Connected Network
09:19:23 - Convolutional Neural Network
10:42:25 - Rectified Linear Units
11:16:04 - Artificial Intelligence Interview Questions
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✅Performance Metrics
✅Deep Learning Using TensorFlow
✅Data Science Capstone Project
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Top Christmas Songs of All Time 🎅🏼 Best Christmas Music Playlist
🎄 Immerse yourself in the joyful and spirited atmosphere of Christmas as we present a carefully curated selection of the best Christmas songs from various eras.
"We Wish You A Merry Christmas" and other timeless classics come together to create a harmonious blend of holiday cheer. Whether you're preparing for a festive gathering, decorating your home, or simply enjoying the magic of Christmas, our playlist is designed to add the perfect musical touch to your celebrations.
🎅 Experience the magic of the season with melodies that have stood the test of time and continue to bring joy to hearts around the world. From traditional carols to contemporary hits, our compilation captures the essence of Christmas, making it a memorable and heartwarming experience for everyone.
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👉 Merry Christmas to all the music lovers. This playlist is perfect for setting the mood for the holiday season and includes all the Christmas songs you know and love. Enjoy!
May the magic of Christmas fill your heart with warmth and love. Merry Christmas!
💌 Contact: [email protected]
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Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=L_Guz73e6fw
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The 7 Stages of AI
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Welcome to an enlightening journey through the 7 Stages of AI, a comprehensive exploration into the world of artificial intelligence. If you've ever wondered about the stages of AI, or are interested in how the 7 stages of artificial intelligence shape our technological world, this video is your ultimate guide.
Artificial Intelligence (AI) is revolutionizing our daily lives and industries across the globe. Understanding the 7 stages of AI, from rudimentary algorithms to advanced machine learning and beyond, is vital to fully grasp this complex field. This video delves deep into each stage, providing clear explanations and real-world examples that make the concepts accessible for everyone, regardless of their background.
Throughout this video, we demystify the fascinating progression of AI, starting from the basic rule-based systems, advancing through machine learning, deep learning, and the cutting-edge concept of self-aware AI. Not only do we discuss the technical aspects of these stages, but we also explore their societal implications, making this content valuable for technologists, policy makers, and curious minds alike.
Leveraging our in-depth knowledge, we illuminate the intricate complexities of artificial intelligence's 7 stages. By the end of the video, you'll have gained a robust understanding of the stages of AI, the applications and potential of each stage, and the future trajectory of this game-changing technology.
#artificialintelligence
#ai
#airevolution
Subscribe for more!
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Welcome to AI Uncovered, your ultimate destination for exploring the fascinating world of artificial intelligence! Our channel delves deep into the latest AI trends and technology, providing insights into cutting-edge AI tools, AI news, and breakthroughs in artificial general intelligence (AGI). We simplify complex concepts, making AI explained in a way that is accessible to everyone.
At AI Uncovered, we're passionate about uncovering the most captivating stories in AI, including the marvels of ChatGPT and advancements by organizations like OpenAI. Our content spans a wide range of topics, from science news and AI innovations to in-depth discussions on the ethical implications of artificial intelligence. Our mission is to enlighten, inspire, and inform our audience about the rapidly evolving technology landscape.
Whether you're a tech enthusiast, a professional seeking to stay ahead of AI trends, or someone curious about the future of artificial intelligence, AI Uncovered is the perfect place to expand your knowledge. Join us as we uncover the secrets behind AI tools and their potential to revolutionize our world.
Subscribe to AI Uncovered and stay tuned for enlightening content that bridges the gap between AI novices and experts, covering AI news, AGI, ChatGPT, OpenAI, artificial intelligence, and more. Together, let's explore the limitless possibilities of technology and AI.
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Learn how to use Next 3 in this full tutorial for beginners. Nuxt.js is a progressive JavaScript framework for building user interfaces on the web. Nuxt makes it easy to create server-rendered applications, static websites, and single-page applications.
✏️ Course developed by @codewithguillaume
Contents
⌨️ (0:00:00) Intro
⌨️ (0:02:51) Create an App
⌨️ (0:11:07) Pages
⌨️ (0:22:37) Components
⌨️ (0:32:10) Layouts
⌨️ (0:37:47) Assets
⌨️ (0:48:40) Composables
⌨️ (0:55:00) Plugins
⌨️ (1:00:43) Middlewares
⌨️ (1:07:36) Modules
⌨️ (1:12:57) State Management
⌨️ (1:23:28) Server
⌨️ (1:33:42) Nitro
⌨️ (1:38:17) Rendering modes
⌨️ (1:52:04) useFetch
⌨️ (2:02:27) useAsyncData
⌨️ (2:08:16) SEO & Metas
⌨️ (2:18:57) Hooks
⌨️ (2:22:02) Nuxt.config.ts
⌨️ (2:30:14) Nuxt Content
⌨️ (2:41:29) Build Docs and API
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This video on the "Artificial Intelligence full course" video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.
Below are the topics covered in this AI and ML full course:
00:00:00 Artificial Intelligence Full Course 2022
00:01:45 Artificial Intelligence Basics
00:14:46 Top 10 AI Technologies 2022
00:24:47 Top 10 AI Companies for 2022
00:53:10 Machine Learning Algorithms
00:53:23 Linear Regression
01:02:08 Decision Tree
01:10:26 SVM
01:38:48 Clustering
01:39:31 K-means Clustering
02:09:11 Logistic Regression
02:35:34 KNN
05:04:16 Perceptron
07:19:27 RNN
08:13:01 Keras
09:25:19 CNN classification
10:06:38 Sequential Model
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What Exactly is Machine Learning?
A good start at a Machine Learning definition is that it is a core sub-area of Artificial Intelligence (AI). ML applications learn from experience (data) like humans without direct programming. When exposed to new data, these applications learn, grow, change, and develop by themselves.
What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.
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