Con mucho orgullo y felicidad les comparto este nuevo paper que sacamos desde Mercado Libre. Este martes lo voy a estar presentando en SIGIR 2024! Sabías que las leyes de escalado que dieron origen a los Large Language Models también ocurren en sistemas de recomendaciones? 1/n

I was a 10x engineer. Now I'm useless.

RT @realmadhuguru: @pocarles @vinndixie @Google for now. as models and tools get better, that will change.

Mi charla ya envejeció! Jajaja 2 semanas duró

QR nace para dejar de usar otras apps para hacer pagos. Qué otra funcionalidad nos falta?

We hosted another LLM-Native meetup at @lemonapp_ar — a space where we bring together founders, engineers, researchers, and AI enthusiasts building frontier products with llms. Full house again, with 200 on the waiting list. We dug into real-world technical challenges through 8 talks by 12 experts, sharing insights and practical solutions. @tadeodonegana (& lemon’s team) @ideasrapidas @IvannaAFigueroa @HeyFardo @manuelsoria_ @gptcrosa @shroominic @fpingham Thanks to all the speakers for making it happen, and to everyone who showed up for the energy and value you brought. Big thanks to Lemon for opening their doors to host us, and to Tade for helping organize and curate the content. We’re planning more meetups and growing capacity to keep making space for all the amazing talent pushing this field forward in LATAM. llmnative.dev @PetralliLucas @fpingham

Que pedazo de evento se viene este viernes 🔥 Keynotes de @ideasrapidas, @IvannaAFigueroa, @gptcrosa, @shroominic, @HeyFardo, @manuelsoria_, @fpingham, @lgesuelli_p, @PetralliLucas & more en las oficinas de @lemonapp_ar 🫡 📌Full schedule: llmnative.dev/events

"La IA nos va a reemplazar" *La IA

Tremenda charla @fpingham! Contenido, slides y delivery 👏 👏 "AI brilla cuando no se ve". Me la re llevo

New 3h31m video on YouTube: "Deep Dive into LLMs like ChatGPT" This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology", and how to get the best use them in practical applications. We cover all the major stages: 1. pretraining: data, tokenization, Transformer neural network I/O and internals, inference, GPT-2 training example, Llama 3.1 base inference examples 2. supervised finetuning: conversations data, "LLM Psychology": hallucinations, tool use, knowledge/working memory, knowledge of self, models need tokens to think, spelling, jagged intelligence 3. reinforcement learning: practice makes perfect, DeepSeek-R1, AlphaGo, RLHF. I designed this video for the "general audience" track of my videos, which I believe are accessible to most people, even without technical background. It should give you an intuitive understanding of the full training pipeline of LLMs like ChatGPT, with many examples along the way, and maybe some ways of thinking around current capabilities, where we are, and what's coming. (Also, I have one "Intro to LLMs" video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version of this topic. They can still be combined, as the talk goes a lot deeper into other topics, e.g. LLM OS and LLM Security) Hope it's fun & useful! youtube.com/watch?v=7xTGNNLP…

Gracias @eisenjulian por el endorsement!! Mi primer paper en arxiv!! yaaay arxiv.org/abs/2412.07585

Estoy buscando publicar en arxiv el paper que saqué este año (dl.acm.org/doi/10.1145/36267…). Nunca había publicado uno, y para hacerlo necesito un endorsement de alguien que haya publicado al menos 3 papers en Machine Learning. Algún alma caritativa desea hacerme el endorsement?

El tiempo es todo el tiempo

Tomorrow at 10h30 AM we will present our work on bias discovery and mitigation using visual explanations at @eccvconf in Milan 🇮🇹 Ping me if you are around and want to discuss! 📷 Link to the paper: arxiv.org/abs/2407.01996 More info 👇 x.com/enzoferrante/status/18…