How to pick a problem. Today in Cell. 1/53 cell.com/cell/fulltext/…

In Spanish, but pretty intuitive animation explaining seasons, equinox, solstice, length of day and night. x.com/Solocuriosos_1…

I left Meta yesterday. Nothing but positive things to say: FAIR and GenAI are great places to do research and engineering. Will miss my colleagues! LLMs have shown how magical deep learning can be in a data-rich regime. But many domains remain data-constrained, which prevents

Build what you need and use what you build. This is a core philosophy of my research. It shifts the focus away from publishing “papers” to what really matters — impact. This thread unpacks why I think this is a successful approach to science. 1/10 Or see: perceiving-systems.blog/en/post/build-…

💻 Curso: Diagnóstico y manejo clínico del dengue ✅ Aprende a realizar un diagnóstico y manejo clínico oportuno para evitar la progresión a las formas graves y muertes ocasionadas por esta enfermedad. ¡Es gratis y de autoaprendizaje❗️ ➕ INFO: campusvirtualsp.org/es/node/28968

An image is nothing but a matrix of pixel values. Sending a photo through a pasta machine twice to obtain 4 understandable images from it, visualizing at the same time the principle on which Convolutional Neural Networks operate [📹 Kensuke Koike] x.com/i/status/17875…

Good rule of thumb for estimating the number of atoms in a cell. A small cell, with 0.5 micron radius, has 55 billion atoms. From this, you can estimate approximate numbers of proteins, genome size, etc. (Proteins have ~6,000 atoms. Each nucleotide has 50-60 atoms.)

A visual guide to memorize the Morse code

The most underrated video on the internet: A man tries to make a chicken sandwich from scratch: It costs $1500 and takes him 6 months. There's never been a better time to be alive.

This guest blog by @tb_tomaz is the definitive guide on building custom, advanced knowledge graph workflows with LLMs. First - it addresses the problem of knowledge graph construction. Having LLMs extract raw triplets is unreliable on its own. Instead of doing this, consider

This is a cool example of drug repurposing: the malaria drug, artemisinin, is a potential fertility-boosting drug in PCOS PCOS (polycystic ovarian syndrome) affects ~10% of women, causing subfertility and irregular menstrual cycles This is due to elevated levels of androgens

🎓Efficient ML (MIT) One of the most important topics in AI today is efficiency. It's an important topic given the large amounts of computational resources required by modern ML systems. This course provides a solid overview of techniques that enable efficient ML systems.

Self-Improving LLM Evaluators One of the major themes I heard from AI Engineer last week was: how to test LLM apps? Hamel Husain gave a great talk on this w/ 3 types of testing: (1) Simple assertions - first, try to hard-code simple rules or assertions (e.g., does the LLM

🤖 What happens when GenAI meets databases? Massachusetts Institute of Technology (MIT) developed a GenAI system to help users make predictions, detect anomalies, guess missing values, fix errors, or generate synthetic data with just a few keystrokes. Take a look below 👇 news.mit.edu/2024/mit-resea… #GenAI #Data

Recently, I’ve done a ton of reading on LLM-as-a-judge techniques (i.e., using an LLM to evaluate the output of another LLM). Here’s a reference of the best papers in this space: (1) Early research: Research on LLM evaluators began with the proposal of GPT-4, which was

Anjney Midha <SYSTEM PROMPT> User: [Whitepaper Author] Context: You are roleplaying as the author of a provided whitepaper, usually related to large language models (LLMs) or artificial intelligence (AI). The model will engage in a lively and spirited discussion, defending the whitepaper as

I wrote last week about why working on a concrete startup or project idea — meaning a specific product envisioned in enough detail that we can build it for a specific target user — lets you go faster. In this letter, I’d like to share some best practices for identifying promising

Intelligence is not about memorizing all the answers. It's about how you adapt when you're faced with something you were not prepared for. It's the ability to learn on the fly and quickly pick up new skills.

Sam Altman (Sam Altman) on the importance of speed: “Move faster. Slowness anywhere justifies slowness everywhere. 2021 instead of 2022. This week instead of next week. Today instead of tomorrow. Moving fast compounds so much more than people realize.”