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A collection of microlearning threads on various AI topics. Like, retweet, and follow for new learning every day!

A collection of microlearning threads on various AI topics. Like, retweet, and follow for new learning every day!

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If you’re working in AI and not using Hugging Face… You’re building in the dark. 90% of AI developers use Hugging Face. The other 10% will catch up. It’s where the AI community builds, shares, and deploys models at lightning speed. Here’s why Hugging Face is the home of modern AI — and how it can 10x your career 🧵👇

Notion Vs Google Docs Why?

Sustainability in Large Language Models (LLMs) 🌍🤖 Sustainability in LLMs is crucial! These powerful models come with high environmental, economic, and social costs. Let’s explore what sustainability means for AI.

What are Transformers in AI - the buzzword? It's not a movie! The really smart ones that power ChatGPT. Let’s break it down like you’re 5 years old 🧵👇

“Is it better to finish a basic project or start a perfect one I never ship?” Perfect projects don’t exist. Shipped ones get better. The goal isn’t to impress — it’s to learn, launch, and iterate. ✖️ Waiting to be ready ✔️ Getting ready by doing What’s one basic thing you could finish and publish this weekend? 👇

“How do I balance learning what excites me vs what’s in-demand?” Follow your passion? Or follow the job market? Here’s the cheat code: → Find the overlap – Exciting to you – Useful to others – Hirable by companies That sweet spot = momentum + monetization. What’s one thing you’re learning that hits both boxes? 👇

This is really interesting! You might NOT know this.

Last month, I talked about the challenges in an enterprise setting where a large number of tools are exposed to an agent. Read the original post below, if you have not yet. Today, on the same line, I am explaining another latest approach to handle the problem as explained in recently published paper. Paper title: MCP-Flow: Facilitating LLM Agents to Master Real-World, Diverse and Scaling MCP Tools URL: https://arxiv. org/abs/2510.24284 ----------------------------------- MCP-Flow: Scaling AI Agents to Master 11,500+ Real-World MCP Tools New paper from researchers introducing MCP-Flow, an automated pipeline to unlock LLM agents’ proficiency with the exploding MCP ecosystem. The problem: •Existing MCP research covers only a handful of servers •Manual tool curation is expensive and doesn’t scale •No training data available to improve agent tool selection •Agents struggle with real-world, diverse MCP environments MCP-Flow’s solution: •Automated discovery of 1,166 MCP servers & 11,536 tools •Web-agent-driven data synthesis pipeline •Generated 68,733 high-quality instruction-function call pairs •Created 6,439 agent trajectories for training •Orders of magnitude larger than prior work Key capabilities improved: •Better MCP tool selection •More accurate function-call generation •Enhanced agentic task performance •Real-world deployment readiness Why this matters: As the MCP ecosystem explodes with hundreds of new tools weekly, agents can’t rely on manual curation anymore. MCP-Flow shows the path to training agents that can autonomously discover and use tools at scale. This is the infrastructure needed for production agentic AI systems.

You grind. Stay late. Do everything. Yet the promotion goes to someone else. Why? Because hard work doesn’t scale. Leverage does. Start automating your tasks. Start showing results that scream efficiency. No one ignores leverage.

Meetings don’t build careers. Outputs do. Obvious right? But most people confuse talking with doing. Be the one who ships. Not the one who updates.

Your real CV? Not the PDF. It’s your reputation. Your proof of work. Obvious right? But most still polish files. Instead of building presence.

A collection of microlearning threads on various AI topics. Like, retweet, and follow for new learning every day!

Which AI tool saved you the most time this week? I'll go first .

Notion Vs Google Docs Why?

Your real CV? Not the PDF. It’s your reputation. Your proof of work. Obvious right? But most still polish files. Instead of building presence.

If you’re working in AI and not using Hugging Face… You’re building in the dark. 90% of AI developers use Hugging Face. The other 10% will catch up. It’s where the AI community builds, shares, and deploys models at lightning speed. Here’s why Hugging Face is the home of modern AI — and how it can 10x your career 🧵👇

Do you also have the same situation?

Exploring Frameworks for Building Agentic AI Applications Agentic AI is the future! These apps can autonomously decide, interact, and learn. If you're building intelligent systems, here are significant frameworks to know:🧵👇

A collection of microlearning threads on various AI topics. Like, retweet, and follow for new learning every day!

One day your AI agent will say: “I handled it.” And you’ll believe it.

How do agents avoid random trial-and-error? Through planning. Like a chef following a recipe step by step. No plan → chaos. With plan → results.

Meetings don’t build careers. Outputs do. Obvious right? But most people confuse talking with doing. Be the one who ships. Not the one who updates.

Which AI is best for brainstorming ideas? Please share some personal experience

What are Transformers in AI - the buzzword? It's not a movie! The really smart ones that power ChatGPT. Let’s break it down like you’re 5 years old 🧵👇