peter adetola

@expertwith_AI KIDS

Kids animation is the most underrated money niche on YouTube 💸 No face. No voice needed. No trends. Just stories + consistency. One channel: 721K subs 24 videos This is not luck. It’s niche selection. Want the blueprint? Comment “KIDS” 👇 Follow me🙏

Applications for #DLI2026 are officially OPEN! We are excited to open applications for the annual meeting of the African machine learning and AI community: The Deep Learning Indaba 2026 in Lagos, Nigeria! ⏳ Deadline: 29 March 2026 Apply here: baobab.deeplearningindaba.com 👉 Details: deeplearningindaba.com/2026/applicati… #DLI2026 #Indaba2026

Intro to Machine Learning Systems book for FREE! This book covers ML Systems, AI Workflows, Data Engineering and more. To get your copy, do the following. - Like and Repost - Comment ML - Follow me so that I can DM you.

@Shruti_0810 NEED

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@AndrewBolis Guide

You can make $17,540/month with a Faceless YouTube Channel, if you have: 1. Internet 2. Mobile 3. 1 hour daily I have prepared an ultimate guide for this. It's completely FREE: Like and Comment "Guide" and I will DM it to you for free. (Must follow me to get DM) Free for 48 hours.

@marryevan999 YES

I compiled 50+ n8n automation templates you can copy & paste into your business or sell to other companies. Just straight plug-and-play systems for: – Lead gen -Content creation – Email outreach – CRM updates – AI workflows – Slack/Discord bots … and more. Follow + Retweet + Reply “YES” and I’ll send it over. This is completely FREE. Don't even want your email.

@atikcoder0 HK

I created a GitHub Repository to Learn AI Engineering. And it crossed 3000 stars recently. It contains some of the best free courses, articles, tutorials, and videos to learn: - Mathematical Foundations - AI & ML Fundamentals - Deep Learning and Specializations - Generative AI - Large Language Models (LLMs) - Prompt Engineering Guides - RAG, Agents and MCP Check it out here: github.com/ashishps1/lear… - If you find the repo valuable, consider giving it a ⭐ and share with others.

Link: github.com/mlabonne/llm-c…

@Nas_tech_AI Youtube

YouTube is not luck. If you start today, you can earn $2,000- $10,000 per month by March 2026. Usually, I charge $30 for this proven guide, but today it's yours 100% FREE. Like + comment 'Youtube' and I'll send you my in-depth guide for FREE. Must follow me to get DM. FREE for 24 hrs only.

@hasan28d Agent

99% of the AI agent tutorials on YouTube are garbage. I’ve built 47 agents with n8n and Claude. Here are the 3 prompts that actually work (and make agent-building simple). Bonus: comment "Agent: and I’ll DM you AI agent system prompt + full guide ↓

@Sumanth_077 ok

Build a Large Language Model from scratch! This repository contains the code examples for developing, pretraining, and finetuning a LLM from scratch. It is the official codebase for the book Build a Large Language Model (From Scratch). Notebook examples are included for each chapter: Chapter 1: Understanding Large Language Models Chapter 2: Working with Text Data Chapter 3: Coding Attention Mechanisms Chapter 4: Implementing a GPT Model from Scratch Chapter 5: Pretraining on Unlabeled Data Chapter 6: Finetuning for Text Classification Chapter 7: Finetuning to Follow Instructions Link to the repo in the comments!

@NearByBader I am interested

@Python_Dv b

Comment below the output! 😃👇

@hasan28d Agent

99% of the AI agent tutorials on YouTube are garbage. I’ve built 47 agents with n8n and Claude. Here are the 3 prompts that actually work (and make agent-building simple). Bonus: comment "Agent: and I’ll DM you AI agent system prompt + full guide ↓

Stop wasting hours trying to learn AI. 📘📚 I have already done it for you. With one list. Zero confusion. And no fluff 📹 Videos: 1. LLM Introduction: lnkd.in/dMqbaZdK 2. LLMs from Scratch: lnkd.in/dYYwEhYy 3. Agentic AI Overview (Stanford): lnkd.in/dArmMt2i 4. Building and Evaluating Agents: lnkd.in/dBWd2W8u 5. Building Effective Agents: lnkd.in/dHfdebqw 6. Building Agents with MCP: lnkd.in/dXuNHrRJ 7. Building an Agent from Scratch: lnkd.in/da3ANw3w 8. Philo Agents: lnkd.in/dq-BfZE5 🗂️ Repos 1. GenAI Agents: lnkd.in/d3UDtwwv 2. Microsoft's AI Agents for Beginners: lnkd.in/dHvTmJnv 3. Prompt Engineering Guide: lnkd.in/gJjGbxQr 4. Hands-On Large Language Models: lnkd.in/dxaVF86w 5. AI Agents for Beginners: lnkd.in/dHvTmJnv 6. GenAI Agentshttps://lnkd.in/dEt72MEy 7. Made with ML: lnkd.in/d2dMACMj 8. Hands-On AI Engineering:lnkd.in/dgQtRyk7 9. Awesome Generative AI Guide: lnkd.in/dJ8gxp3a 10. Designing Machine Learning Systems: lnkd.in/dEx8sQJK 11. Machine Learning for Beginners from Microsoft: lnkd.in/dBj3BAEY 12. LLM Course: lnkd.in/diZgGACG 🗺️ Guides 1. Google's Agent Whitepaper: lnkd.in/gFvCfbSN 2. Google's Agent Companion: lnkd.in/gfmCrgAH 3. Building Effective Agents by Anthropic: lnkd.in/gRWKANS4. 4. Claude Code Best Agentic Coding practices: lnkd.in/gs99zyCf 5. OpenAI's Practical Guide to Building Agents: lnkd.in/guRfXsFK 📚Books: 1. Understanding Deep Learning: lnkd.in/dgcB68Qt 2. Building an LLM from Scratch: lnkd.in/g2YGbnWS 3. The LLM Engineering Handbook: lnkd.in/gWUT2EXe 4. AI Agents: The Definitive Guide - Nicole Koenigstein: lnkd.in/dJ9wFNMD 5. Building Applications with AI Agents - Michael Albada: lnkd.in/dSs8srk5 6. AI Agents with MCP - Kyle Stratis: lnkd.in/dR22bEiZ 7. AI Engineering: lnkd.in/gi-mQcXa 📜 Papers 1. ReAct: lnkd.in/gRBH3ZRq 2. Generative Agents: lnkd.in/gsDCUsWm. 3. Toolformer: lnkd.in/gyzrege6 4. Chain-of-Thought Prompting: lnkd.in/gaK5CXzD. 🧑🏫 Courses: 1. HuggingFace's Agent Course: lnkd.in/gmTftTXV 2. MCP with Anthropic: lnkd.in/geffcwdq 3. Building Vector Databases with Pinecone: lnkd.in/gCS4sd7Y 4. Vector Databases from Embeddings to Apps: lnkd.in/gm9HR6_2 5. Agent Memory: lnkd.in/gNFpC542 Repost for your network ♻️ &follow for more stuff on building AI Agents.