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The Gini Impurity Index is a measure of the diversity in a dataset. In this short video you'll learn a very simple way to calculate it using probabilities.
Announcement: Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
Build your first app today with Mocha: https://www.getmocha.com?utm_source=matthew_berman
Download Humanities Last Prompt Engineering Guide (free) ππΌ
https://bit.ly/4kFhajz
Download The Matthew Berman Vibe Coding Playbook (free) ππΌ
https://bit.ly/3I2J0YQ
Join My Newsletter for Regular AI Updates ππΌ
https://forwardfuture.ai
Discover The Best AI ToolsππΌ
https://tools.forwardfuture.ai
My Links π
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Media/Sponsorship Inquiries β
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Links:
https://arxiv.org/html/2510.04871v1
Try Notion for free β https://ntn.so/techwithtim
π Check out PyCharm, the only Python IDE you need. Built for web, data, and AI/ML professionals. Download now. Free forever, plus one month of Pro included: https://jb.gg/check_out_pycharm_ide
Today I'm going to show you how to build an AI agent in Python in less than ten minutes.
Want to make real money with coding? I share high-signal insights on careers, monetization, and leverage in my free newsletter. Join here and get my guide How to Make Money With Coding instantly: https://techwithtim.net/newsletter
π Video Resources π
UV Video: https://www.youtube.com/watch?v=6pttmsBSi8M
Code in this video: https://github.com/techwithtim..../PythonAIAgentin10Mi
β³ Timestamps β³
00:00 | Install & Setup
01:23 | OpenAI API Key
03:26 | Imports
04:42 | Tools
06:39 | LLM & Agent
07:43 | Driver Code
09:45 | Testing
Hashtags
#Python #AIAgents #Notion
A look at what Agentic AI is and then how to create an agentic AI agent using Copilot Studio then Semantic Kernel.
π Looking for content on a particular topic? Search the channel. If I have something it will be there!
π€ Due to the channel growth and number of people wanting help I no longer can answer or even read questions and they will just stay in the moderation queue never to be seen so please post questions to other sites like Reddit, Microsoft Community Hub etc.
β¬β¬β¬β¬β¬β¬ C H A P T E R S β° β¬β¬β¬β¬β¬β¬
00:00 - Introduction
00:26 - Types of AI agent
05:27 - Agentic AI
09:35 - Self-improving?
11:26 - Agentic agents ARE AI agents
11:40 - Many expert agents
13:58 - Quality testing
14:56 - Creating Agentic agents
15:15 - Low code with Copilot Studio
17:43 - Using generative orchestration
20:19 - Adding triggers
22:55 - Pro code with Semantic Kernel
24:48 - Types of semantic kernel agent
26:28 - Multi-agent
28:53 - Multi-agent example code
32:25 - Viewing multi-agent interaction
34:18 - Governance
35:59 - Summary
β¬β¬β¬β¬β¬β¬ K E Y L I N K S π β¬β¬β¬β¬β¬β¬
βΊ Video whiteboard:
π https://github.com/johnthebrit..../RandomStuff/raw/mas
βΊ Semantic kernel agent sample repo:
π https://github.com/microsoft/s....emantic-kernel/tree/
β¬β¬β¬β¬β¬β¬ Want to learn more? π β¬β¬β¬β¬β¬β¬
π Recommended Learning Path for Azure
π https://learn.onboardtoazure.com
π₯ Certification Content Repository
π https://github.com/johnthebrit..../CertificationMateri
π
Weekly Azure Update
π https://youtube.com/playlist?l....ist=PLlVtbbG169nEv7j
β Azure Master Class
π https://youtube.com/playlist?l....ist=PLlVtbbG169nGccb
β DevOps Master Class
π https://youtube.com/playlist?l....ist=PLlVtbbG169nFr8R
π» PowerShell Master Class
π https://youtube.com/playlist?l....ist=PLlVtbbG169nFq_h
π Certification Cram Videos
π https://youtube.com/playlist?l....ist=PLlVtbbG169nHz2q
π§ Mentoring Content
π https://youtube.com/playlist?l....ist=PLlVtbbG169nGHxN
β Questions? Maybe I answered it in my FAQ
π https://savilltech.com/faq
π Cure Childhood Cancer Charity T-Shirt Channel Store
π https://johns-t-shirts-store.creator-spring.com/
π Enable the subtitles and from there you can translate to your native language via the auto-translate feature in settings! https://youtu.be/v5b53-PgEmI for a demo of using this feature.
SUBSCRIBE β
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#aiagents #AI #agenticai #copilotstudio #johnsavillstechnicaltraining #onboardtoazure
Ready to become a certified Architect on Cloud Pak for Data? Register now and use code IBMTechYT20 for 20% off of your exam β https://www.ibm.com/training/c....ertification/ibm-cer
Learn more about Agentic AI here β [Topic Page on .com]
Agentic AI is transforming technologyβbut autonomy brings big risks π€. Phaedra Boinodiris & Matt Bellio explore risks like misinformation, security gaps, and decision-making errors, and share strategies for AI governance and responsible deployment π. Learn how to navigate the future of autonomous AI!
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM β https://www.ibm.com/account/re....g/us-en/signup?formi
#agenticai #autonomousai #airisks #technologyinnovation
Want to automate anything with Claude Code, even if you're a total beginner? In this step-by-step tutorial, Iβll show you how to use Claude Code, Blotato MCP, and AI automation workflows to build powerful systems without being a developer. Whether you're into no-code automation, AI agents, or building passive income systems, this guide will help you turn ideas into automated machines fast.
--
I'm Sabrina Ramonov. I'm on a mission to teach 1 million people AI. I'm also the solo founder of Blotato.com. It's a SaaS app for creators/entrepreneurs to go viral faster with AI, just like me (0 to 500k+ in 6 months solo).
How I got hereβ¦
0: Born in Quezon City, Philippines π΅π
22 yrs old: Graduated UC Berkeley with degrees in Computer Science and Physics... and $250k in student loans.
23 yrs old: Started Qurious, as Founder/CEO, doing natural language processing (AI) in healthcare.
25 yrs old: Closed pilots with billion-dollar pharmaceutical companies, but failed to reach product market fit.
26 yrs old: Pivoted Qurious a lot, then settled on real-time call guidance for sales and customer support, combining streaming speech recognition (AI) and natural language processing (AI).
28 yrs old: Made the Forbes 30 Under 30 list, while living in a living room of 2BR San Francisco apartment.
30 yrs old: Sold 100% of Qurious to Pegasystems (NASDAQ: Pega) in cash and stock deal ($10M+ total).
31 yrs old: Integrated Qurious with Pegasystems Customer Service to launch Pega Voice AI, now used by 1000s of support agents.
32 yrs old: Started angel investing in VC/seed funds, crypto, and passion areas π while recovering from burnout by hiking, skiing, and reading. Dropped 50 lbs to get back in shape.
33 yrs old: Started making free content to teach 1 million people AI.
34 yrs old: 0 to 500k+ followers in 6 months with $0 budget, 0 team, $0 paid ads, 0 masterminds.
Today: Started https://Blotato.com to distribute 100+ pieces of content per week. 1000s of creators & entrepreneurs use Blotato to go viral faster with AI.
Get FREE AI prompts, playbooks, and agents π https://sabrina.dev/p/free
Learn how to design with Claude Code from Anthropic in real product workflows with Figma MCP.
I cover what Claude Code is, how designers can use it, and how to turn it into a serious productivity multiplier for UX exploration, documentation, prototyping, and shipping faster.
If youβre a UI, UX, or Product Designer looking to build better products, work smarter with AI, and stay competitive in a rapidly changing industry, this guide is for you.
π KEY LINKS
π£ JOIN THE COMMUNITY: https://uicollective.co/
β Follow me on X: https://x.com/KirkMDesign
Why Join UI Collective Academy? Get access to premium courses, premium downloads, and so much more on the way (I am largely building this solo...trying to make design education available for all, support goes a long way!)
βͺοΈ Need a design system? (also included in the academy): https://collectivekit.co/
π VIDEOS TO WATCH
Build a Design System: https://youtu.be/opTANvl9G1g
Complex Design System Setup: https://youtu.be/L-tpK7Eeuow
AI & Design Systems: https://youtu.be/XfezMs8B-O8
π MORE LINKS
Let us build or fix your design system: https://designsystemlabs.co/
π£ Save 20% on the Annual Mobbin plan: http://mobbin.com/uicollective
[email protected]
VIDEO LINKS & MORE:
Installation: https://code.claude.com/docs/en/overview#terminal
For installation: /plugin install figma@claude-plugins-official
MCP documentation: https://code.claude.com/docs/en/mcp
https://www.pencil.dev/
0:00 An Introduction
0:53 Introduction to Claude Code
3:23 Claude Code & Opus 4.6
4:26 Setting Up Claude Code
6:07 Connecting Figma MCP
7:35 Building a Figma Design with Claude Code
11:59 Claude Code Desktop App
13:32 Pencil App Demo
14:31 Building a Design with Claude Code & Pencil
Claude Code isnβt just another coding tool. tβs a game-changer for automation, DevOps, and productivity. Imagine combining the simplicity of Unix commands with the intelligence of an AI-powered assistant. Thatβs 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.
π₯ Watch now and see how it can transform the way teams work.
#ClaudeCode #Anthropic #Claudeai #Coding #AITools #Automation #DevOpsCommunity #ProductivityTools #kodekloud
MIT 6.868J The Society of Mind, Fall 2011
View the complete course: http://ocw.mit.edu/6-868JF11
Instructor: Marvin Minsky
In this lecture, students discuss Chapter 1 of The Emotion Machine, covering topics such as love, infatuation, and the Self.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
Episode Summary: MIT professor Andrew W. Lo tackles AI-assisted financial advising, healthcare, and the effect of human behavior on financial markets.
Episode Description: In this the first of two pilot episodes of Chalk Radio with VIDEO, Professor Andrew Lo, who teaches finance at MITβs Sloan School of Management, knows that many people find financial matters perplexing and scary. Lots of us donβt have a good head for numbers, and besides, how can one get advice and make sound decisions when itβs taboo to discuss oneβs finances at all? Thatβs where a financial advisor is usefulβsomeone who understands the concepts, can crunch the numbers, and has a fiduciary responsibility to look out for your best interests. For many people, hiring a financial advisor might be a financial impossibility, but Prof. Lo and his colleagues are working to develop an AI financial advisor that not only gives ordinary people access to sound financial advice, but acts with real fiduciary responsibility. Large language models canβt do this yet, he says, but the technology is developing fast. Other topics he touches on in this episode include the outsized influence of finance on drug development and global decarbonization and the equally outsized influence of teachers on their studentsβhe names many who changed his own life, from his third-grade teacher in Queens to his professors at college and graduate school.
Subscribe to Chalk Radio on podcast platforms β https://chalk-radio.simplecast.com
Relevant Resources:
MIT OpenCourseWare (https://ocw.mit.edu)
The OCW Educator portal (https://ocw.mit.edu/educator)
Professor Loβs faculty page (https://mitsloan.mit.edu/facul....ty/directory/andrew-
15.401 Finance Theory I on MIT OpenCourseWare (https://ocw.mit.edu/courses/15....-401-finance-theory-
15.481x Adaptive Markets: Financial Market Dynamics and Human Behavior on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
15.482x Healthcare Finance on MIT Open Learning Library (https://openlearninglibrary.mi....t.edu/courses/course
Music in this episode by Blue Dot Sessions (https://www.sessions.blue/)
Connect with Us:
If you have a suggestion for a new episode or have used OCW to change your life or those of others, tell us your story. Weβd love to hear from you!
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0:01 Intro
0:51 Why Finance Matters
3:02 Inflation, and practical finance applications to mitigate rising costs
5:19 Can ChatGPT reliably plan someone's retirement?
7:54 How to deal with AI hallucinations
9:14 Financial planning - why you need to start early!
9:58 Finances - a taboo topic?
11:07 AI Finance tools and ethics
12:31 Will AI take people's jobs?
13:18 Finance for positive impact on people & healthcare - Andrew's origin story
16:47 How Finance could help Climate
18:48 'It all comes down to money'
19:22 How human behavior affects Finance
19:47 How humans react to a market crash
21:12 Andrew's Adaptive Markets Hypothesis
22:02 How can we counteract irrational human tendencies?
24:00 How Andrew makes finance accessible through his teaching
24:55 Andrew's education and identifying different types of intelligence
28:31 Andrew's learning disorder and how teachers helped him manage it
35:08 Andrew's meaningful memento
38:17 Conclusion
Stay Current:
Subscribe to the free monthly "MIT OpenCourseWare Update" e-newsletter (https://ocw.mit.edu/newsletter/)
Support OCW:
If you like Chalk Radio and OpenCourseWare, donate to help keep these programs going! (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbkZsQWFIcWdoRzdTdUFuS2I2M2FqUWFDamRDZ3xBQ3Jtc0trLVdrRHdGa0FSdjNHMkNQUEdJVHhsTGdwMVJHWFVFT2N3WF94ZmxST2ZVLWR5REhubmpZckNmWHJyR3VaZFdGbE9LODNNeUQ5X25kNWtTaTFGSnVUYmo1dEFZY1hTWXdnUTctSlhBZXRpbnBsRVRvbw&q=https%3A%2F%2Fgiving.mit.edu%2Fgive%2Fto%2Focw%2F%3Futm_source%3Docw%26utm_medium%3Dpodcast%26utm_campaign%3Ddonate&v=SD-zfFTUzBs_
Credits:
Sarah Hansen, host and producer
Brett Paci, producer
Jackson Maher, producer
Dave Lishansky, producer
Peter Chipman, show notes
MIT 15.S21 Nuts and Bolts of Business Plans, IAP 2014
View the complete course: http://ocw.mit.edu/15-S21IAP14
Instructor: Bob Jones
This session will discuss these issues and provide guidance on how to approach the marketing section of your business plan.
License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu
MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6
Introduction and overview of the course covering the history and background of the field.
License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ
We encourage constructive comments and discussion on OCWβs 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.
MIT 18.200 Principles of Discrete Applied Mathematics, Spring 2024
Instructor: Ankur Moitra
View the complete course: https://ocw.mit.edu/courses/18....-200-principles-of-d
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6
We first describe the mechanics of the course. We then discuss the pigeonhole principle, explaining what it is and giving several surprising applications of it. The we briefly discuss foundations of probability and sample spaces.
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 OCWβs 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.
For more information about Stanfordβs graduate programs, visit: https://online.stanford.edu/graduate-education
October 17, 2025
This lecture covers:
β’ Pretraining
β’ Quantization
β’ Hardware optimization
β’ Supervised finetuning (SFT)
β’ 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
For more information about Stanfordβs graduate programs, visit: https://online.stanford.edu/graduate-education
November 14, 2025
This lecture covers:
β’ Retrieval-augmented generation
β’ Advanced RAG techniques
β’ Function calling
β’ Agents
β’ ReAct framework
To follow along with the course schedule and syllabus, visit: https://cme295.stanford.edu/syllabus/
Chapters:
00:00:00 Introduction
00:06:38 RAG overview
00:27:39 Similarity search with SBERT and bi-encoders
00:34:25 Heuristic search with BM25
00:37:54 HyDE and contextual retrieval
00:41:00 Prompt caching
00:45:24 Re-ranking with cross-encoders
00:47:49 Retrieval evaluation with NDCG, MRR
00:59:28 Tool calling
01:26:22 Tool selection
01:29:17 Model Context Protocol (MCP)
01:31:56 Agents with ReAct
01:42:16 Safety and closing thoughts
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
In an effort to spread knowledge and promote life-long learning, Stanford University has put extensive efforts into offering free online courses available to anyone, anywhere.