Roger_Holliday

Solo soy un chico viviendo un día a la vez.

Todavía no soy adicto al crack

[Matt Dancho (Business Science) @mdancho84]

This GitHub is better than most $1,000 AI courses.

Chip Huyen's AI Engineering companion repo:

[arc. @arceyul]

GUÍA COMPLETA DE 30 MINS PARA CONSTRUIR UN BOT DE TRADING CON CLAUDE FABLE 5

guárdalo para que no se te pierda y empieza a ganar dinero hoy

[Roger_Holliday @RHolliday21]

@SoyCristianRey Allez

[Cristian Rey @SoyCristianRey]

Si gana Francia, sortearé un Play Station 5 entre los usuarios que le den RT y comenten este tweet.

[Christian Martinoli 🐳 @martinolimx]

WC

[Matt Dancho (Business Science) @mdancho84]

RIP MIT.

Top AI and ML repositories that replace a $250,000 college education.

(bookmark this for later)

[Swapna Kumar Panda @swapnakpanda]

MIT's ABSOLUTELY FREE Books on AI & ML:

1. Foundations of Machine Learning
https://t.co/78p57EBbL8

2. Understanding Deep Learning
https://t.co/D2oyRrXqcE

3. Introduction to Machine Learning Systems
❯ Vol 1: https://t.co/IezLFJdhDV
❯ Vol 2: https://t.co/NYP3xAPZ6u

4. Algorithms for ML
https://t.co/lntuD4Q19H

5. Deep Learning
https://t.co/vCHVIZQYTI

6. Reinforcement Learning
https://t.co/JNWhFCuCkH

7. Distributional Reinforcement Learning
https://t.co/GXpkV4BDZi

8. Multi Agent Reinforcement Learning
https://t.co/T8zVmQVutO

9. Agents in the Long Game of AI
https://t.co/HeD3Nsm5zz

10. Fairness and Machine Learning
https://t.co/csAjhdf7Lb

11. Probabilistic Machine Learning

❯ Part 1 : https://t.co/5Leef9ypGj
❯ Part 2 : https://t.co/vRbF0rEIuh

[Bhavesh Arora @bhavesharora02]

Build LLMs from Scratch 🚀

Found this gem from Vizuara, a 43-lecture series that actually delivers on its promise: building Large Language Models from the ground up.

Most people use ChatGPT.
Very few actually understand how it works behind the scenes.

This playlist breaks it down step by step without making it feel overwhelming.

What you’ll learn:
→ Transformer architecture
→ GPT internals
→ Tokenization & BPE
→ Attention mechanisms
→ Training flow of LLMs
→ Complete Python implementations

Perfect for:
• ML Engineers
• AI Enthusiasts
• Developers entering GenAI
• Anyone tired of “black box” AI explanations

If you really want to understand what powers models like ChatGPT, Claude, and Gemini — this is worth watching.

🔗 Playlist link in comments.

Watch. Build. Understand.

[Roger_Holliday @RHolliday21]

@python_spaces Books

[Python Space @python_spaces]

Python and ML Books for FREE!

- Intro to ML
- ML Projects
- Think Python
- Python for Data Analysis

Like, RT, and comment “Books,” and I’ll DM you the links.

[Hasan Toor @hasantoxr]

Ok this is kind of wild.

GlobalGPT just quietly added Seedance 2.0 and Wan 2.7.

No invite code. No regional barrier. No waiting list.

You can now generate AI ads, comic videos, dance clips, cinematic shots, and running videos from one tab.

[Ziwen @ziwenxu_]

INSTEAD OF SCROLLING ALL NIGHT.

Spend 60 minutes with this instead.

Obsidian + Browser-use = 24/7 Knowledge Ingest.

Your assistant builds its own brain while you sleep.

The people who implement this tonight will never wake up the same.

Read it and Bookmark it now.

[Mayank Agarwal 💡 @TheAIWorld22]

Anthropic just showed a 24-minute workshop on how to actually prompt Claude.

Taught by the people who built it.

Free. No signup. No paywall.

I've watched $300 courses that don't cover what they teach in the first 8 minutes.

[AilaunchX @Ai_Tech_tool]

Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.

[Rishabh @Rixhabh__]

Anthropic pays engineers $750,000+ a year to understand how LLMs work.

Stanford just put a 2 hour lecture that covers 80% of it for FREE.

Bookmark this. Give it 2 hours today.

[MLB Run Tracker @MLBRunTracker]

Current MLB HR Leaders

1: Jordan Walker (8)
T2: Kyle Schwarber (6)
T2: Aaron Judge (6)
T2: Yordan Alvarez (6)
T2: Gunnar Henderson (6)
T2: Brandon Lowe (6)
T7: Andy Pages (5)
T7: Drake Baldwin (5)
T7: Shohei Ohtani (5)
T7: James Wood (5)
T7: Elly De La Cruz (5)
T7: Chase DeLauter (5)
T7: Zach Neto (5)
T7: ONeil Cruz (5)
T7: a handful of other guys

[Nabil Abdullah @NabilMinhaz]

There are 2 career paths in AI right now:

The API Caller: Knows how to use an API. (Low leverage, first to be automated, $150k salary).

The Architect: Knows how to build the API. (High leverage, builds the tools, $500k+ salary).

Bootcamps train you to be an API Caller. This free 17-video Stanford course trains you to be an Architect.

It's CS336: Language Modeling from Scratch.

The syllabus is pure signal, no noise:
➡️ Data Collection & Curation (Lec 13-14)
➡️ Building Transformers & MoE (Lec 3-4)
➡️ Making it fast (Lec 5-8: GPUs, Kernels, Parallelism)
➡️ Making it work (Lec 10: Inference)
➡️ Making it smart (Lec 15-17: Alignment & RL)

Choose your path.

(I will put the playlist in the comments.)

♻️ Repost to save someone $$$ and a lot of confusion.
✔️ You can follow
@NabilMinhaz

, for more insights.

[Abdulkadir | Cybersecurity @cyber_razz]

FREE OPEN CLAUDE CODE

GitHub link: https://t.co/tJwmJxXJM1

Enjoy ;)

[SONIA @S0N_IA_]

🚨| Este ruso ha encontrado la manera de aprender cualquier cosa 10 veces más rápido con IA.

NotebookLM + Gemini + Obsidiana

Este es uno de los mejores videos que os traigo, dadle apoyo

[Aurelien @Aurelien_Gz]

vibe coders reading this: