I tried the new AI tool for Logseq, and the result seems promising! Of course, GPT-3 won't magically make you smarter, but it does save you some time and helps you write more.

We're now seeing more and more AI writing tools like LEX and Jasper, but are there going to be more AI note-taking tools too?

Mentioned Tools:
LEX: https://lex.page/
Jasper: https://www.jasper.ai/
Napkin: https://napkin.one/?via=shu
Mem: https://get.mem.ai/
Logseq: https://logseq.com/
OpenAI: https://openai.com/api/


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📝 My Amplenote Course: https://tool-academy.teachable.....com/p/amplenote-mad ▬▬▬▬▬▬▬▬▬▬VIDEOS YOU MAY LIKE▬▬▬▬▬▬▬▬▬▬
- Why is EVERYONE Using This Note App? https://www.youtube.com/watch?v=aXZ48CrA-So

- Why I Switched From Todoist to Amplenote: https://www.youtube.com/watch?v=qZ8ljrXYva0&t=1s

- How I Use Logseq to Take Notes and Organize My Life: https://www.youtube.com/watch?v=BhHfF0P9A80

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🔬 RESEARCH
Genei: https://www.genei.io/?via=shu

📝 NOTE-TAKING
Logseq: https://logseq.com/
Obsidian: https://obsidian.md/

🧱 NO-CODE WEBSITE BUILDER
Systeme.io: https://systeme.io/?sa=sa00253....31352de8478102a991b8

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#ai #app #productivity

▬▬▬▬▬▬▬▬▬▬Chapters▬▬▬▬▬▬▬▬▬▬

Welcome to this course about development with Large Language Models, or LLMs. Throughout this course, you will complete hands-on projects will help you learn how to harness LLMs for your own projects. You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.

This course was developed by @Luup.ai123

Colab notebook for introduction to the API:https://colab.research.google.....com/drive/1gi2yDvvhU
Github : https://github.com/pythononthe....plane123/LLM_course_

Join the Discord: https://discord.com/invite/Hq39QgRU
Twitter : https://twitter.com/AkshatNon

⭐️ Contents ⭐️
⌨️ (0:00:00) Brief introduction to LLMs
⌨️ (0:11:49) Quick note from the future
⌨️ (0:12:04) Chatgpt playground (skip this is you know this already)
⌨️ (0:18:21) GPT API basics (skip this is you know this already)
⌨️ (0:30:43) Brief intro to chainlit
⌨️ (0:31:33) Cloning chatgpt user interface
⌨️ (0:45:37) Limitations of our interface
⌨️ (0:47:48) Adding streaming, backend view, stop sequence button
⌨️ (0:58:42) Introduction to vector databases
⌨️ (1:04:42) Vector databases hands on
⌨️ (1:12:10) QnA with Documents - .txt and .pdf
⌨️ (1:23:32) Testing out our Q&A system
⌨️ (1:27:22) Introduction to web-browsing and agents
⌨️ (1:32:52) AI researcher
⌨️ (1:42:23) Human as a tool
⌨️ (1:44:44) Mini code interpreter plugin(Replit tool)
⌨️ (1:46:29) Searching youtube using agents
⌨️ (1:49:19) Guide to explore more
⌨️ (1:50:33) Shell Tool
⌨️ (1:55:43) Create your own tools
⌨️ (2:01:19) Ending Notes

🎉 Thanks to our Champion and Sponsor supporters:
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Learn to code for free and get a developer job: https://www.freecodecamp.org

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🔥Edureka Power BI Training - https://www.edureka.co/power-b....i-certification-trai
This Edureka "Python Power BI integration" video will help you to understand the value brought by the integration of the Python into Power BI Desktop and how it provides a powerful tool for transforming and presenting business intelligence data.

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#edureka #powerbiedureka #pythonPowerBI #powerbidesktop #powerbitraining #powerbitutorialforbeginners

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

How it Works?

1. This is a 4 Week Instructor led Online Course, 20 hours of assignment and 20 hours of project work
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 the training you will have to work on a project, based on which we will provide you a Grade and a Verifiable Certificate!

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

About the Course

Power BI is a powerful cloud-based suite of business analytics tools that make it easy to combine data from multiple sources, analyze and visualize information and share insights.

Edureka's Power Bi course features easy drag and drop report authoring for advanced insights , and online web dashboards that update automatically and can be shared within seconds.



After the completion of Edureka's Power BI Certification Course, you will be able to:
Discuss Power BI, Power Pivot, Power view, Power Map
Discuss Power Query
Describe Power BI Desktop
Describe DAX
Explain Data Visualization
State Power BI Q&A and Data insights
Develop Custom Visualizations
Discuss Power BI Embedded
Explain Power BI with SSRS Reports
Discuss the concepts around Power BI Administration
- - - - - - - - - - - - - -

Who should go for this Course?

Business Analysts
Business Intelligence Manager
Statisticians and Analysts
Data Scientists
Project Managers
- - - - - - - - - - - - - -

Why learn Power BI?

Power BI helps Business Analysts, Business Intelligence Manager, Statisticians & Analysts, Project Managers and Data scientists to visualize and share insights from their organizations’ data.

It provides interactive visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves, without having to depend on any information from technology staff or database administrator.



For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

Why do Boston Dynamics Robots dance? And Could Elon Musk be right that superhuman AI is only around five years away?

Boston Dynamics' Dancing Robots:
https://youtu.be/fn3KWM1kuAw

Interview with the GPT-3 AI:
https://youtu.be/PqbB07n_uQ4

PWC report on how automation will impact jobs:
https://www.pwc.co.uk/services..../economics/insights/

🔥Post Graduate Program In Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=26Jan2024RoadmapToDataAnalyticsIn2024&utm_medium=DescriptionFF&utm_source=youtube
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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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- Statistical Analysis using Excel
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- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

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Ever wondered how your favorite technology, or the one you're working on came to be? What and how it changed over the years? These are some of the questions our new series, FlashbackFriday answers. Today, we'll be delving into the history and important milestones of the Machine Learning.


If you are interested to learn more about Machine Learning, check out our Machine Learning playlist here: https://www.youtube.com/watch?v=ukzFI9rgwfU&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

Learn more about Machine Learning at https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Flashback-Friday-Episode-03-lY1SELMvoVs&utm_medium=Tutorials&utm_source=youtube

To learn more about Machine Learning, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

#FlashBackFriday #MachineLearning #MachineLearningForBeginners #IntroductionToMachineLearning #HistoryOfMachineLearning #SimplilearnTraining #Simplilearn

➡️ 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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Large language models-- or LLMs --are a type of generative pretrained transformer (GPT) that can create human-like text and code. There's a lot of talk about GPTs and LLMs lately, but they've actually been around for years! In this video, Martin Keen briefly explains what a LLM is, how they relate to foundation models, and then covers how they work and how they can be used to address various business problems.

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdK65X

#llm #gpt #gpt3 #largelanguagemodel #watsonx #GenerativeAI #Foundationmodels

While much of the world is focused on large language models, our Salesforce AI Research teams are looking at smaller models that offer unique advantages in speed, cost, and accessibility. In this episode, learn what Small Language Models are, how they work and how they can be used for task-specific situations like personal agents on wearable devices like smart watches and robotics.

Learn more about Agentforce: https://www.salesforce.com/agentforce/
Learn more about AI Agents: https://www.salesforce.com/agentforce/ai-agents/

The AI Research Lab - Explained gives you a sneak peak of cutting-edge AI techniques developed by Salesforce’s very own AI Research group. Along the way, we’ll demystify complex concepts and share real-world insights—all from the forefront of research.

#Salesforce #Agentforce

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About Salesforce:
Improve customer relationships with Salesforce, the #1 AI CRM where humans with agents drive customer success together. Our integrated platform pairs your unified customer data with trusted agents that can assist, take action autonomously, and hand off seamlessly to your employees in sales, service, marketing, commerce, and more.

Disclaimer: This video is for demonstration purposes only. All account data depicted is fictional and does not contain personally identifiable information (PII). This content is intended solely to illustrate product functionality in a simulated environment.

#sponsored Build your first AI agent for free https://botpress.com/?utm_source=youtube&utm_medium=cpc&utm_campaign=aimaster&utm_term=buildchatgptagent

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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

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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

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---

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For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education

January 9, 2026
This lecture covers:
• How the ongoing integration of LLMs into our social worlds is creating new risks and opportunities
• Best practices for designing rehabilitative bots

To follow along with the seminar schedule, visit: https://hci.stanford.edu/

Jeremy Foote is an Assistant Professor in the Brian Lamb School of Communication at Purdue University and a faculty member in the Community Data Science Collective.

Most people think they understand AI, but they only understand the part where you type something into ChatGPT and it types something back. The gap between that and building an actual agent that can go do work for you is enormous.

In this video, I break down the entire AI stack in 30 minutes. We start with how large language models actually work, then climb through transformers, context engineering, RAG, reasoning models, and finally the most important distinction in AI right now: the difference between a model and an agent. A model thinks. An agent thinks and acts.

By the end, you'll understand how these systems work better than 95% of people posting about AI on the internet.

Chapters:

00:00 – The Gap Nobody Tells You About
01:51 – How LLMs Actually Work
05:04 – The Transformer Architecture
08:42 – BERT vs GPT History
09:41 – Modalities and Multimodal Models
12:03 – Prompt to Context Engineering
16:45 – RAG Explained
20:21 – Reasoning Models
21:22 – Model vs Agent
22:27 – The ReAct Pattern
23:10 – Agentic Design Patterns
24:13 – AI Evaluations
26:43 – The Gen Academy
29:43 – Closing

You’re right—that last version had titles only. Here’s a fully linkified, copy‑paste‑ready description block.


Resources mentioned in the video (and more to explore):

👉 Join Mastering Agentic AI Certification by The Gen Academy (Aug & Oct Cohort)
https://maven.com/aishwarya-sr....inivasan/mastering-a
Use code: SAVE20 for 20% discount

👉 My videos to watch next

→ Vector Databases Explained – deep dive on embeddings & storage
https://youtu.be/4pUYfY-b5CQ?si=Y3VdR5CmKTBlQwew

→ RAG Explained
https://youtu.be/v0ynfDPpe4E?si=qxCk6LHLHEcW0cCH

👉 Mastering Claude Cowork (~2 hour lightning lesson - 12,000+ people have attended)
https://maven.com/p/6f5db3/mas....tering-claude-cowork

👉 Agentic AI Foundations

→ Anthropic: Building Effective Agents
https://www.anthropic.com/rese....arch/building-effect

→ OpenAI: A Practical Guide to Building Agents
https://openai.com/business/gu....ides-and-resources/a

→ OpenAI Agents SDK
https://developers.openai.com/....api/docs/guides/agen

→ OpenAI Agents SDK Python Docs
https://openai.github.io/opena....i-agents-python/agen

👉 Agent Design Patterns

→ ReAct: Synergizing Reasoning and Acting in Language Models
https://arxiv.org/abs/2210.03629

→ Google Research Blog on ReAct
https://research.google/blog/r....eact-synergizing-rea

→ Reflexion: Language Agents with Verbal Reinforcement Learning
https://arxiv.org/abs/2303.11366

👉 MCP and Agent Interoperability

→ Anthropic: Introducing the Model Context Protocol
https://www.anthropic.com/news..../model-context-proto

→ Model Context Protocol GitHub
https://github.com/modelcontextprotocol

→ Google: Agent2Agent Protocol
https://developers.googleblog.....com/en/a2a-a-new-era

→ A2A Protocol GitHub
https://github.com/a2aproject/A2A

👉 Context Engineering for Agents

→ Anthropic: Effective Context Engineering for AI Agents
https://www.anthropic.com/engi....neering/effective-co

→ Anthropic: Code Execution with MCP
https://www.anthropic.com/engi....neering/code-executi

→ Anthropic: Writing Effective Tools for Agents
https://www.anthropic.com/engi....neering/writing-tool

👉 My Related Resources

→ Designing Agentic AI Systems
https://aishwaryasrinivasan.su....bstack.com/p/designi

→ All you need to know about AI agent frameworks
https://substack.com/@aishwary....asrinivasan/note/p-2

✅ Claim your FREE $499 Masterclass: Build & Sell Apps, AI Agents & Websites with AI https://mikeyno-code.com/Skool-base44

✅ Best AI Agent Tool is Base44 https://mikeyno-code.com/agent13

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In this video, I break down how I built an AI agent in 14 minutes as a beginner in 2026, showing a simple and practical workflow anyone can follow. You’ll learn how to build an AI agent step by step, including a beginner-friendly AI agent tutorial and how tools like n8n AI agent setups can be used to automate real tasks. Whether you're new to automation or exploring how modern AI agent systems work, this guide shows you how to get started quickly and build your first working AI agent.

00:00 - Intro: Building a Functional AI Agent in 14 Minutes
00:58 - Free AI App & Business Masterclass
01:37 - What is Base44? The No-Code AI Powered App Builder
02:16 - Getting Started: Dashboard Overview and Prompt Interface
02:48 - Understanding the Base44 Credit-Based Pricing Model
03:38 - Project Setup: Building a Full-Stack Task Management App
04:12 - Core Roadmap: Forms, Databases, and AI Agent Logic
05:23 - Feature 1: Building the Core Task Creation System
06:17 - The Exact AI Prompt for App Foundation & List View
07:16 - How to Build and Scale Profitable AI Businesses
08:25 - Feature 2: Adding Filters, Sorting, and Kanban Boards
09:38 - The Exact AI Prompt for App Organization & UI
10:20 - Feature 3: Adding a Progress Dashboard & Summary Cards
11:07 - The Exact AI Prompt for Dynamic Data Dashboards
11:59 - Feature 4: Enabling Secure User Authentication & Private Data
12:48 - The Exact AI Prompt for No-Code User Login Flows
13:30 - Feature 5: Integrating a Native AI Chat Assistant
14:36 - The Exact AI Prompt for Natural Language App Control
15:30 - Feature 6: Upgrading to a Dynamic Autonomous AI Agent
16:40 - The Exact AI Prompt for Context-Aware AI Agents
17:27 - Conclusion: Shifting from Writing Infrastructure to Building Products

For inquiries: Mikey (at) ytmedia.group