🧠 LLM Training · Scour

🧠 LLM TrainingSpecific

LLM training, pretraining, RLHF, model training, arxiv ML

fareedkhan-dev.github.io·

Train LLM from Scratch

Discussed on Hacker News

Structured Hyperedge Adaptation for Parameter-Efficient Fine-Tuning of Vision Transformers

codingsprints.medium.com·

Making Machine Learning Accessible: Building Interactive AI Demos with Gradio and Hugging Face BLIP

PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters

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Enterprise-grade AI infrastructure with AWS SageMaker HyperPod

Memorization in large language models in medicine prevalence characteristics and implications

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Tech Disruptors: Invisible Technologies on RLHF and LLM Training

Guest blog post on Cross-Origin Storage in Transformers.js

Show HN: NanoEuler – GPT-2 scale model in pure C/CUDA from scratch

Discussed on Hacker News

mlx-lora-studio.netlify.app·

MLX LoRA Studio — Fine-tune LLMs on your Mac

Covers ml-explore/mlx

Krea 2 Technical Report

Covers 8 stories including DeepSeek-V3 Technical Report

Covered by 3 sources including tldr.tech, VentureBeat

Discussed on Hacker News

Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks

LoRA: I Trained <1% of a 1.5B Model and Matched a Full Fine-Tune

Discussed on DEV

agenticresourcediscovery.org·

Agentic Resource Discovery Specification

Covered by 8 sources including InfoWorld, Hugging Face

Discussed on Hacker News

mail.bycloud.ai·

What even is a > < former)

Covers 5 stories including GLM-5.2 (6 minute read)

Machine Learning Mastery·

Clustering Unstructured Text with LLM Embeddings and HDBSCAN

ByteByteGo Newsletter·

Large Language Models vs Small Language Models

Covers 6 stories including Attention is all you need (2017)

Tox21mer, A transformer foundation model for Tox21 high-throughput concentration-response curves data

Microsoft Tech Community

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Inside Llama 3.1 405B MLPerf Training on Azure: System-Level Insights at 8K+ GPU Scale

pyimagesearch.com·

Google DeepMind’s Gemma 4: MoE, Efficiency Tricks, and Benchmarks

Covers 7 stories including GitHub here . You can follow the build instructions below as well. Change -DGGML_CUDA=ON to -DGGML_CUDA=OFF if you don't have a GPU or just want CPU inferen...

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