Lo ridículamente mal organizado que está el @coolturalfest de Almería es épico, cola de dos horas para entrar, hasta nunca! #nuncamas

Stanford CS336: Large Language Models from Scratch! This is a comprehensive course on LLMs, covers the full process of building one from scratch, including data collection, pretraining, transformer architecture, training, evaluation, and deployment.

New fastest shortest-path algorithm in 41 years! Tsinghua researchers broke Dijkstra’s 1984 “sorting barrier,” achieving O(m log^(2/3) n) time. This means faster route planning, less traffic, cheaper deliveries, and more efficient networks - and a CS curriculum revamp =)

https://t.co/DEMnbqPmtw

I trained a 100 million parameter DeepSeek V3 LLM from scratch Here's what you need to know. Previously I trained traditional GPT-2 architecture which has become obsolete with recent LLM advancements. Most recent models like Llama, Mistral, DeepSeek, and GPT-4 use latest

Top 50 LLM Interview Questions :

DeepSeek just dropped the single best end-to-end paper on large model training. It covers — Software (MLA, training in FP8, DeepEP, LogFMT) — Hardware (Multi-Rail Fat Tree, Ethernet RoCE switches) — Mix (IBGDA, 3FS filesystem) DeepSeek's engineering depth is insane. Must read.

AI Agents vs. Agentic AI Interesting paper summarizing distinctions between AI Agents and Agentic AI. It also talks about the key ideas, solutions, and the future. Here are my notes:

Autoencoder by hand✍️Excel~ I designed this exercise to show how an Encoder-Decoder network convert input to code and reconstruct input from code. It is annotated with equations, PyTorch, and graphs. 👇Join the 'AI Math' community. Download xlsx.

Awesome event by @AiBirras ! The AI future in Granada is brighter than ever! Listening to experts such as @draxus is always a pleasure!

A must-see: Stanford Machine Learning Course: CS229 https://t.co/SXmRFcU1w6 #ai #stanford #llm #genai

Me complace presentar a mi buen compañero y amigo @ATL_85 para impartir una ponencia sobre la carrera profesional en Ciencia e Ingeniera del Dato, consejos para que nuestros estudiantes progresen en el mundo del business intelligence

We trained a graph-native AI, then let it reason for days, forming a dynamic relational world model on its own - no pre-programming. Emergent hubs, small-world properties, modularity, & scale-free structures arose naturally. The model then exploited compositional reasoning &

I've tried all (24) AI coding agents & IDEs 😵‍💫 [Cursor, Softgen, Windsurf, Wrapifai, Copilot, Lovable, Bolt, v0, Replit, MarsX, Claude, AmazonQ, Pear, Devin, Github Spark, IDX, Webdraw, Tempo, Cline, Continue, Databutton, Base44, Qodo, Aider] The Vibe Coding giga-thread:

Salvemos la central nuclear de Almaraz. Manifestación el sábado 18 de enero a las 10:00 que saldrá desde el ayuntamiento de Almaraz. @SiAlmaraz

Drawing the Transformer Network from Scratch (Part 1) by Thomas Kurbiel in @TDataScience

Check out these awesome AI, ML, and DL fundamentals from @shervinea and @afshinea at Stanford! 🌟 Free, illustrated resources that are perfect for learning and quick reference:

Introducing Ollama fully Integrated into VSCode with CodeGPT Now you can download open-source models from @ollama with a single click and install them as code assistants in VSCode. In this case, I download the qwen2:0.5b (@Alibaba_Qwen) model in under a minute, and it becomes

OpenAI announced the GPT-4o this week. People are doing incredible things with it already. 12 Wild Examples of what it's capable of:

¿Me ayudas a #SalvarLasNucleares? Para concienciar a más personas te propongo compartir la imagen en tus redes sociales y de mensajería, así como usar la etiqueta cuando publiques y comentes noticias sobre el cierre nuclear.