🧠 LLMs - michal.bilski.px · Scour

Scale LLM fine-tuning with Hugging Face and Amazon SageMaker AI

aws.amazon.com·7h

Main Content || Math ∩ Programming

jeremykun.com·1d

DAWN: Dependency-Aware Fast Inference for Diffusion LLMs

arxiv.org·19h

Import AI 444: LLM societies; Huawei makes kernels with AI; ChipBench

importai.substack.com·10h·

Discuss: Substack

How to Design LLM Applications for Production: A System Design Guide

dev.to·18h·

Discuss: DEV

AI-augmented data quality engineering

infoworld.com·14h

Towards a Standard for JSON Document Databases

muratbuffalo.blogspot.com·42m·

Discuss: Blogger

A Note on Flat Abstract Syntax Trees

gist.github.com·5h·

Discuss: Hacker News

Building LLMs in Resource-Constrained Environments: A Hands-On Perspective

infoq.com·12h

Trainy-ai/pluto: Next Generation Experimental Tracking for Machine Learning Operations

github.com·4h·

Discuss: Hacker News

Faster AI Training Unlocked With New System For Massive Language Models

quantumzeitgeist.com·10h

About the Information System on Graph Classes and their Inclusions

graphclasses.org·10h

Join our new study on AI and data-driven computing in UK primary classrooms

raspberrypi.org·11h

The Machine Learning Lessons I’ve Learned Last Month

towardsdatascience.com·3h

Estimating Exam Item Difficulty with LLMs: A Benchmark on Brazil's ENEM Corpus

arxiv.org·19h

Simulated depression risk classification from Parkinson’s voice features using a self-attention-enhanced MLP architecture

nature.com·1d

Platforms that rank the latest LLMs can be unreliable

techxplore.com·7h

25W06. Learning a language with the machine

z1nz0l1n.com·1d

plrg-bristol/advanced-haskell-2026: Resources for the 2026 Advanced Haskell seminar series at Bristol

github.com·4h

Writing a ONNX Neural Network Inference Engine from Scratch in C to run image classification with MobileNetV2

flexw.github.io·1d·

Discuss: r/C_Programming

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