Tafsin
52 posts

Tafsin
@Tech_Tafsin
AI & Tech Creator | Tools, News & Reviews Helping creators grow with AI DM for Collaborations
New York, USA เข้าร่วม Nisan 2026
10 กำลังติดตาม4 ผู้ติดตาม
Tafsin รีทวีตแล้ว

This is an era collapse. The most slow-moving part of the global campaign, the adaptation phase, is now the fastest.
That’s the power of an operating layer like invideo agent one.
Invideo@invideoOfficial
If your team is still manually adapting ads for different markets in 2026 - you don't have a creative problem, you have a (very fixable) tooling and workflow problem. Here's what intelligently creating, editing, and adapting films and ads looks like👇
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Tafsin รีทวีตแล้ว
Tafsin รีทวีตแล้ว

Write me an email” is the fastest way to get a forgettable one.
If you want something that actually works, give direction:
• What’s the purpose? (inform, request, sell, follow up)
• Who’s reading it? (boss, client, recruiter)
• What tone fits? (casual, formal, confident)
• What must be included? (key facts, deadlines, CTA)
• Any limits? (length, format, style)
Clarity in → quality out.
Don’t just ask—brief it.
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Tafsin รีทวีตแล้ว
Tafsin รีทวีตแล้ว

Try GPT-Image-2 right inside your favorite messaging apps.
No installs. No setup.
@buildwingman brings @OpenAI’s latest image model to WhatsApp, iMessage & Telegram.
Create. Share. Done.
Tag @emergentlabs with your best image 👇
Win $5K in credits + 15 mins with me 🚀

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Tafsin รีทวีตแล้ว

🚨 Gemini Pro 1 Year Giveaway! 🚨
✨ Gemini 2.5 Pro
💰 1000 AI Credits/Month
🎬 Veo 3 + Flow AI + Whisk
📚 NotebookLM
📩 Gmail & Docs Integration
To Enter:
1️⃣ Follow @SSarker34315
2️⃣ Like & RT
3️⃣ Comment “ Send ”
⏳ 48 Hours Only.

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Tafsin รีทวีตแล้ว
Tafsin รีทวีตแล้ว

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: t.co/kyDon6qLrb
2. LLMs from Scratch: t.co/2hyMhuKoiI
3. Agentic AI Overview (Stanford): t.co/FXu6cAqITC
4. Building and Evaluating Agents: t.co/ZigR1tdOFL
5. Building Effective Agents: t.co/uYwfwO55mO
6. Building Agents with MCP: t.co/4arFTW1b3i
7. Building an Agent from Scratch: t.co/eOmveyM9Hz
8. Philo Agents: t.co/zLu7x1tx9m
🗂️ Repos
1. GenAI Agents: t.co/eXCl2YaRPv
2. Microsoft's AI Agents for Beginners: t.co/3CSW4zPAwf
3. Prompt Engineering Guide: t.co/GVzvxPYDVO
4. Hands-On Large Language Models: t.co/0rgDvhx3pI
5. AI Agents for Beginners: t.co/3CSW4zPAwf
6. GenAI Agentshttps://lnkd.in/dEt72MEy
7. Made with ML: t.co/9z5KHF9DMe
8. Hands-On AI Engineering:t.co/dldAj5Xkr6
9. Awesome Generative AI Guide: t.co/U2WZhT4ERV
10. Designing Machine Learning Systems: t.co/sYAZX34YdQ
11. Machine Learning for Beginners from Microsoft: t.co/NjFxHbC9jZ
12. LLM Course: t.co/N34YTPu1OK
🗺️ Guides
1. Google's Agent Whitepaper: t.co/bW3Ov3vMW0
2. Google's Agent Companion: t.co/wredwWAbBA
3. Building Effective Agents by Anthropic: t.co/fxtE4alVrJ.
4. Claude Code Best Agentic Coding practices: t.co/lLSwJ9pG7C
5. OpenAI's Practical Guide to Building Agents: t.co/xgkEIogGfh
📚Books:
1. Understanding Deep Learning: t.co/CjcKpTemmV
2. Building an LLM from Scratch: t.co/DaWBxOx8o3
3. The LLM Engineering Handbook: t.co/ZA1n0N41Mf
4. AI Agents: The Definitive Guide - Nicole Koenigstein: t.co/boLkl1VlKb
5. Building Applications with AI Agents - Michael Albada: t.co/H1Xf5EkJLL
6. AI Agents with MCP - Kyle Stratis: t.co/JI3ELQZE6a
7. AI Engineering: t.co/Xk0JzMIf7o
📜 Papers
1. ReAct: t.co/QNqE4UU55w
2. Generative Agents: t.co/CwEpoJgY1U.
3. Toolformer: t.co/5m9xZd5teZ
4. Chain-of-Thought Prompting: t.co/KjVlgdWi77.
🧑🏫 Courses:
1. HuggingFace's Agent Course: t.co/7FSUYKxIdG
2. MCP with Anthropic: t.co/IkZGiWm2yS
3. Building Vector Databases with Pinecone: t.co/2YRoMfLdXd
4. Vector Databases from Embeddings to Apps: t.co/23A50ixbHJ
5. Agent Memory: t.co/uc3L9BrNF7
Repost for your network ♻️

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