🧠 Deep Learning - micaleel · Scour

A decoder-only foundation model for time-series forecasting 🤖Machine Learning

research.google·18h

DeepSeek-V4 Pro now available on Together AI 🚀Model Serving

together.ai·1d

Openweight Benchmark 🧮Vector Databases

openweightbench.pages.dev·3h·Hacker News

Google splits AI chips into training and inference TPUs, signaling shift toward workload-specialized AI infrastructure 🚀Model Serving

digitimes.com·6d

Decoupled DiLoCo: How Google Is Enabling Multi-Region, Distributed LLM Pretraining 🚀Model Serving

aiforswes.com·7h

How to build custom reasoning agents with a fraction of the compute 🤖Transformers

venturebeat.com·1d

Your GPU upscales way more than just games, and old videos look incredible 📦Parquet

xda-developers.com·10h

AI Infrastructure–Not Models–Will Define the Next Decade of AI 🛠️Feature Engineering

alltechmagazine.com·3h·Hacker News

Vibe Training - Auto Train a Small Language Model for Your Use Case 🤖Transformers

diamantai.substack.com·2d·Substack, r/LocalLLaMA

RNN to Transformer NMT: PyTorch Migration with 2.8x BLEU Gain 🚀Model Serving

tildalice.io·6d

My Calculator Is a Transformer 🐍Programming

sinclairs.gitlab.io·8h·Hacker News, r/LocalLLaMA

The Sequence Knowledge #850: The Unexpected Comeback of RNNs 🧩Sparse Autoencoders

substackcdn.com·2d·Substack

Pragmata review: Is a mid-range GPU enough for all the visual bells and whistles? 📓Jupyter Notebooks

notebookcheck.net·4h

AI could help human scientists pick promising research topics 📊Data Science

physicsworld.com·12h·Hacker News

Quick Paper Review: "There Will Be a Scientific Theory of Deep Learning" 🤖Machine Learning

lesswrong.com·5d

Show HN: I built a 2nd-order PyTorch optimizer for LLMs that runs on 16GB GPUs 🚀Model Serving

news.ycombinator.com·1d·Hacker News

Google's new Tensor G6 SoC will likely feature a 5 year old PowerVR GPU 📓Jupyter Notebooks

tweaktown.com·22h

This startup’s new mechanistic interpretability tool lets you debug LLMs 🚀Model Serving

technologyreview.com·5h·Hacker News, r/technews

epscylonb/1386.ai.rocm: A lightweight transformer language model built from scratch in PyTorch, trained on a single consumer GPU with a full pipeline for data processing, pretraining, and instruction tuning. 🚀Model Serving

github.com·2d·Hacker News

How AI models ‘understand’ your brand 🤖Transformers

searchengineland.com·8h

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