mcoderz's profile picture. ▪️Eletronic Engineer 💻🛰️▪️Technical Writer 📄 ▪️ Data Science 👨🏿‍💻📈 and LLM Models 📃🧠 Enthusiast

MauroAbner

@mcoderz

▪️Eletronic Engineer 💻🛰️▪️Technical Writer 📄 ▪️ Data Science 👨🏿‍💻📈 and LLM Models 📃🧠 Enthusiast

Pinned

My nostr public key: npub18luz3a3y5aunjrmlkjhfzg58hq87zue3crnsymcmu6jxxl4dsusslfg0dq


MauroAbner reposted

3D structure unfolds into a 2D projection, the same method could be applied to higher dimensions to create a Projection of lower dimension... we might be a 3D projection of some 4D being...

Mathonymics's tweet image. 3D structure unfolds into a 2D projection, the same method could be applied to higher dimensions to create a Projection of lower dimension...

we might be a 3D projection of some 4D being...

MauroAbner reposted

Illustrating the speed of light... So fast, but so slow: 7 laps per second around the earth, but more than two minutes to reach Mars An amazing video by Dr. James O'Donoghue, leveraging data from NASA - National Aeronautics and Space Administration Curious about more…


MauroAbner reposted

Today, let’s remember Dennis M. Ritchie, who was born #OTD in 1941. Ritchie received the 1983 #ACMTuringAward with Ken Thompson, for their development of generic operating systems theory and specifically for the implementation of the UNIX operating system.

TheOfficialACM's tweet image. Today, let’s remember Dennis M. Ritchie, who was born #OTD in 1941. Ritchie received the 1983 #ACMTuringAward with Ken Thompson, for their development of generic operating systems theory and specifically for the implementation of the UNIX operating system.

MauroAbner reposted

GitHub CEO Thomas Dohmke has resigned, and now GitHub will be part of Microsoft’s AI engineering team. GitHub has operated as a separate company ever since Microsoft acquired it in 2018 for $7.5 billion, but Dohmke’s departure is part of a big shakeup to the way GitHub operates

nixcraft's tweet image. GitHub CEO Thomas Dohmke has resigned, and now GitHub will be part of Microsoft’s AI engineering team. GitHub has operated as a separate company ever since Microsoft acquired it in 2018 for $7.5 billion, but Dohmke’s departure is part of a big shakeup to the way GitHub operates

MauroAbner reposted

True story. I used this particular Amiga 1000 to write SN (Léon had his own Amiga) using Emacs and gcc, and to write my PhD thesis with Emacs and LaTeX in 1987. SN, later evolved into SN2 and SN3, and was open sourced under the name Lush in 2001. SN3/Lush (tensor engine with Lisp…


MauroAbner reposted

🚀 PRODIGAL MUSK After the Trump-Musk fallout, Elon decides he's done and blasts off to Mars to run that planet. A parable reimagined across planets and egos. Music: Wish You Were Here by Pink Floyd


In light of Google's Veo 3, I'm starting to think we need to return to print journalism—done more slowly and with greater accuracy. We don't need to know everything that's happening the moment it happens. We need to know the facts. Truth is the only thing that matters.


MauroAbner reposted

Prompt Theory (Made with Veo 3) What if AI-generated characters refused to believe they were AI-generated?


MauroAbner reposted

WE CAN TALK! I spent 2 hours playing with Veo 3 @googledeepmind and it blew my mind now that it can do sound! It can talk, and this is all out of the box...


MauroAbner reposted

Mastering the fundamentals is the only way to become a good software engineer. You stand out if you know algorithms, distributed systems, and system design. Here are 12 curated articles to help you learning new things and get better: ↓

Franc0Fernand0's tweet image. Mastering the fundamentals is the only way to become a good software engineer. 

You stand out if you know algorithms, distributed systems, and system design.   

Here are 12 curated articles to help you learning new things and get better: ↓

MauroAbner reposted

Stanford University released the best cheatsheets you'll ever find to learn LLMs & Transformers! These cheatsheets cover: • Self-attention, Flash Attention, LoRA, SFT • Mixture of Experts, Distillation, Quantization • RAG, Agents, LLM-as-a-judge 100% Free and Open Source

Sumanth_077's tweet image. Stanford University released the best cheatsheets you'll ever find to learn LLMs & Transformers!

These cheatsheets cover:

• Self-attention, Flash Attention, LoRA, SFT
• Mixture of Experts, Distillation, Quantization
• RAG, Agents, LLM-as-a-judge

100% Free and Open Source

MauroAbner reposted

Learn how LLMs work under the hood! This is the best place to visually understand the internal workings of a transformer-based LLM. Explore tokenization, self-attention, and more in an interactive way:


MauroAbner reposted

this book actually exists for free, “the little book of deep learning” by @francoisfleuret. best to refresh your mind about DL basics: > foundations of machine learning > how models train > common layers (dropout, pooling…) > basic intro to LLMs actually optimized for mobile.

Hesamation's tweet image. this book actually exists for free, “the little book of deep learning” by @francoisfleuret. best to refresh your mind about DL basics:
> foundations of machine learning 
> how models train
> common layers (dropout, pooling…)
> basic intro to LLMs
actually optimized for mobile.
Hesamation's tweet image. this book actually exists for free, “the little book of deep learning” by @francoisfleuret. best to refresh your mind about DL basics:
> foundations of machine learning 
> how models train
> common layers (dropout, pooling…)
> basic intro to LLMs
actually optimized for mobile.

MauroAbner reposted

"Mathematics for Artificial Intelligence" by C. Blanchard PDF: imo.universite-paris-saclay.fr/~gilles.blanch…

Riazi_Cafe_en's tweet image. "Mathematics for Artificial Intelligence" by C. Blanchard

PDF: imo.universite-paris-saclay.fr/~gilles.blanch…

MauroAbner reposted

Here you go — 1. Transformers - Visual intro to Transformers (3b1b) [YouTube] -nanoGPT & tokenization (Karpathy) [YouTube] -Decoding strategies in LLMs (Maxime Labonne) [GitHub] 2. Pre training -Distributed training techniques (Duan et al.) [Paper] -nanotron: Minimal…

I’ve seen a ton of devs struggling to pivot to AI lately and here’s what you can try to get more theoretical especially in LLMs: 1. Transformers Architecture, tokenization, attention mechanisms, sampling techniques 2. Pretraining Data prep, distributed training, optimization…



MauroAbner reposted

The more ancient the website looks the better the software


MauroAbner reposted

It’s only been 6 days since Gemini 2.5 Pro dropped… And people are already pushing it to the limit. Here are 15 insane use cases you don’t want to miss: 👇

Div_pradeep's tweet image. It’s only been 6 days since Gemini 2.5 Pro dropped…

And people are already pushing it to the limit.

Here are 15 insane use cases you don’t want to miss: 👇

MauroAbner reposted

Everything is studio Ghibli now. Even lord of the rings.

From PJ Ace

MauroAbner reposted

And these are just the styles that came to mind. Just imagine how many other variations exist. Post your favorite Severance edits below! I'd love to see what you're cooking up. Animated using Kling AI


MauroAbner reposted

ChatGPT 4o's new image gen is insane. Here's what Severance would look like in 8 famous animation styles 🧵 1/8: Rankin/Bass – That nostalgic stop-motion look like Rudolph the Red-Nosed Reindeer. Cozy and janky.


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