Bolor-Erdene

Hello world!!! It's me Beno. You can find more information here.

[Wealth Hatch🧠📈 @WealthHatch_]

1 WEEKEND CAN RESET YOUR ENTIRE YEAR.

No Netflix. No Web Series.

Watch these videos instead of brainrot..

JUST YOUTUBE, A NOTEBOOK. AND REAL YOU.

[Reads with Ravi @readswithravi]

Finally picked up The Nvidia Way by Tae Kim. Good read so far.

[Rian Doris @RianSweetDoris]

https://t.co/illj5qDdR4

[Python Developer @PythonDvz]

n8n Process - Step by Step

[Python Programming @PythonPr]

Learn Python With This ONE Project!
https://t.co/Y0Pv4aIosH

[Базарсүрэнгийн Болор-Эрдэнэ @bbolorerdenemn]

Цаг үе болгон, систем болгон чиний тархийг угааж, төөрөгдүүлж, хувь заяаг чинь завшихыг хүснэ. Хувьтай нь түгжээг тайлж төөрөгдлийн матрицаас гарна.

#идеал #диалог
https://t.co/UpVT6w3WQE

[CyrilXBT @cyrilXBT]

https://t.co/5q4QaNPLYB

[Adnan Hashmi (عدنان ھاشمی) @adnan_hashmi]

Building Agentic Knowledge Bases: Next-Level RAG with #Azure AI Search
https://t.co/aaXYOPTRhb
#MachineLearning #ChatGPT

[Coursera @coursera]

The Google AI Professional Certificate is now available in 15+ languages on Coursera. 🌍

Learn practical AI skills in the language you know best, including Español, Français, and Português (Brasil).

Build hands-on experience with AI to:
🎨 Create images, videos, + presentations
📅 Plan projects and timelines
🔍 Turn data into insights
💻 Build a custom app

Start learning today: https://t.co/HRRglhJy24

[Rohit Kumar Tiwari @_rohit_tiwari_]

AI Engineering from Scratch.

503 lessons. 20 phases. 320 hours.

https://t.co/UuX9N62VCU

Phase 00: Setup & Tooling (12 lessons)
Phase 01: Math Foundations (22 lessons)
Phase 02: ML Fundamentals (18 lessons)
Phase 03: Deep Learning Core (13 lessons)
Phase 04: Computer Vision (28 lessons)
Phase 05: NLP (29 lessons)
Phase 06: Speech & Audio (17 lessons)
Phase 07: Transformers Deep Dive (14 lessons)
Phase 08: Generative AI (14 lessons)
Phase 09: Reinforcement Learning (12 lessons)
Phase 10: LLMs from Scratch (22 lessons)
Phase 11: LLM Engineering (15 lessons)
Phase 12: Multimodal AI (25 lessons)
Phase 13: Tools & Protocols (23 lessons)
Phase 14: Agent Engineering (42 lessons)
Phase 15: Autonomous Systems (22 lessons)
Phase 16: Multi-Agent & Swarms (25 lessons)
Phase 17: Infrastructure & Production (28 lessons)
Phase 18: Ethics, Safety & Alignment (30 lessons)
Phase 19: Capstone Projects (85 lessons)

[Simon Späti 🏔️ @sspaeti]

101 concepts every data engineer should know.

If you want to be a data engineer, learn these data engineering concepts.

👉 https://t.co/7tEpaoTnRy

[Manning Publications @ManningBooks]

Bigger AI models aren't always better.

For domain-specific tasks, SLMs can often deliver faster, cheaper, and more accurate results. Especially when trained on focused datasets and deployed locally.

In Domain-Specific Small Language Models, @GuglielmoIozzia walks through how to adapt open source models to your domain, reduce costs, build secure APIs, and deploy production-ready SLMs (all with a companion GitHub repo).

Now in print: https://t.co/TXlv1lfbWv

[freeCodeCamp.org @freeCodeCamp]

PDFs often hide valuable business data inside reports, invoices, and contracts.

In this guide, @manishmshiva shows you how to automatically extract PDF data with Python.

You'll extract text and tables, handle scanned PDFs with OCR, clean the data, and export the results to Excel or CSV.

https://t.co/MqIraFgBn3

[Adnan Hashmi (عدنان ھاشمی) @adnan_hashmi]

Agentic BI: The Complete Guide to Power BI MCP (Members only)
https://t.co/61Ny7kKUJY
#MachineLearning #ChatGPT

[Shane Young Power Apps MVP @ShanesCows]

Microsoft Scout - Finally an agent that can run around the clock and can interact with your local PC. I spent hours getting it up and running so we could look at it Hands-on together. https://t.co/nikb6RTOmc

[The Ways of A Gentleman @Gentleman_Ways]

“Read books. Travel when you can. Learn how to cook one meal exceptionally well. Sit in old bars and talk to strangers. Wear your best jacket to dinner. Appreciate good wine, good music, and good conversation. Do the right thing, even when no one is watching. Set the example for younger men who are watching you. Call your parents. Take long walks. Leave your phone behind sometimes. Become the kind of man people feel better after being around. Life is short, so live it well.”

-J.B. Lloyd

[Bearly AI @bearlyai]

Demis Hassabis recommendation for college students.

He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade.

Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”).

And expertise in any field can be turbocharged by smart use of AI.

“Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

[Kurt Buhler @kurtbuhler]

Being able to use D3 or Vega natively in Fabric or Power BI has been a dream of mine for a long time. Finally I can fully control the canvas for my data... And without making a mess in DAX or the semantic model!

New challenges arise, but still - great possibilities.

[AYi @AYi_AInotes]

看了新晋亚洲首富孙正义 这个最新访谈睡不着了，

6 月 1 号他在巴黎接受CNBC 专访时透漏了很多未来的财富密码，

明确表示下一个万亿美元机会,是 Physical AI 和机器人。

以及这一波 AI 革命的规模,
大概率是互联网泡沫时代的 50 倍,
是人类经历过最大的一次技术与实现革命。

我看了一圈中文圈的反应,
绝大多数人都把这条当普通新闻刷过去了,

过去三年我们忙着教 AI 写代码、画图、聊天,
但下一个十年,AI很可能会从屏幕里走出来,站起来,迈出腿,动手做事。

也就是说,
我们现在练的所有 prompt 技巧、Agent 编排、内容生成等等本质上都还在无身体的 AI这一层。

未来真正决定下一代生产力地形的是有身体的那一层，

下面这几条,是我把这件事彻底想透之后,
给普通人能用上的一份认知和财富进阶地图 👇

[Базарсүрэнгийн Болор-Эрдэнэ @bbolorerdenemn]

Эхний дугаар, энэ тосгоноос бол -40үүдэд л зориулагдсан, байвал шүү дээ.
https://t.co/XFZZwpZspJ