🔬 AI Labs - emschwartz · Scour

1. Introduction to Building AI Applications with Foundation Models 🔍AI Interpretability

oreilly.com·6d

HiFloat4 Format for Language Model Pre-training on Ascend NPUs 🎨ChromaDB

arxiv.org·14h·Hacker News

Sparse Autoencoders for Single-Cell Models 🧠LLM Inference

lesswrong.com·1d

AI Economics in the East 🇨🇳Chinese AI

mbi-deepdives.com

·2h

Boosting pathology foundation models via few-shot prompt-tuning for rare cancer subtyping 📊Embeddings

nature.com·2d

Tencent-Hunyuan/HY-Embodied: A Family of Embodied Foundation Models for Real-World Agents (Tencent Robotics X × HY Vision Team) 🆕New AI

github.com·15h

Cerebras 🏗️LLM Infrastructure

cerebras.ai·6d

AfterQuery, which sells coding and finance training data to AI labs, says it raised a $30M Series A at a $300M valuation, and has hit a $100M+ annual run rate (... 💳AI Commerce

techmeme.com·3d

Meta Muse Spark: Why Meta Abandoned Open-Source AI (And What It Means) 🖥GPUs

pub.towardsai.net

·3d

AI for the Electric Grid 🔋Energy Storage Systems

gridfm.org·4d

Large-Scale Universal Defect Generation: Foundation Models and Datasets 🕯️Candle ML

arxiv.org·14h

Seeduplex: ByteDance's full-duplex voice AI 🔬RaBitQ

seeduplex.io·3d·Hacker News

MiniMax: A World-Leading General AI Technology Company 🏆LLM Benchmarking

producthunt.com·3d

How Unmonitored External Agents can Sabotage AI labs 🛡️AI Security

lesswrong.com·3d

InstrAct: Towards Action-Centric Understanding in Instructional Videos ✨Gemini

arxiv.org·14h

M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model 📊Embeddings

arxiv.org·14h

A Representation-Level Assessment of Bias Mitigation in Foundation Models 🎖Text Quality Models

arxiv.org·14h

LAI #122: Word Embeddings Started in 1948, Not With Word2Vec 🏗️LLM Infrastructure

pub.towardsai.net

·4d

StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing ✨Gemini

arxiv.org·5d

HY-Embodied-0.5: Embodied Foundation Models for Real-World Agents 🔍AI Interpretability

arxiv.org·3d

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