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I joined an AI degree to build neural networks, train models, and ship cool stuff with modern tools. Instead, my professor is making me print “Hello World” in C, wrestle with pointers, and manually manage memory like it’s 1985.
Go ahead and axolotl questions. Contribute to axolotl-ai-cloud/axolotl development by creating an account on GitHub.
TL;DR PyTorch’s Cross-Repository CI Relay (CRCR) gives out-of-tree accelerators a clean, scalable way to plug into upstream CI – and it leaves each backend free to decide which of PyTorch’s...
Also, Instinct’s $1bn raise, Opus and Sonnet 5.5, Grok Bot, Claude Tag in Slack, and OpenAI DevDay.
👉 AI Agents Studio : https://www.youtube.com/channel/UCAawqobkJZ28OLcYcMgqYaw?sub_confirmation=1 "This video covers the top trending open-source GitHub projects this week, picked for practical developer productivity.
Create an SSH key, add it to your Runpod account, connect to a Pod over SSH, then move files with SCP from the command line or with FileZilla.
Choosing a cloud GPU isn't just about power, it's about efficiency, memory, compatibility, and budget. This guide helps you select the right GPU for your.
Learn how to scale Mixture-of-Experts (MoE) reinforcement learning on Amazon EKS using Elastic Fabric Adapter (EFA) and DeepEP. This post presents an architecture that combines Amazon EKS, EFA, and Amazon S3 and increased aggregate reinforcement learning rollout throughput by 40% for large-scale…
Amazon SageMaker HyperPod and Cloud Native Qumulo let you place training compute in one AWS Region while keeping your dataset in another. This post shares the architecture and validation results from a cross-Region training run, where a remote cluster matched a co-located cluster's throughput after…
We finish off our short series on SLM optimization with the third entry, focused on batching by length instead of looping item by item.
Projects are the bridge between learning and becoming a professional. While theory builds fundamentals, recruiters value candidates who can solve real problems. A strong, diverse portfolio showcases practical skills, technical range, and problem-solving ability.
As deep learning models move rapidly from research prototypes into core enterprise infrastructure, the demand for practical, end-to-end PyTorch expertise has never been higher. Building robust neural networks requires more...
Radiology AI has made remarkable strides in detecting abnormalities across chest X-rays, pathology slides, and 2D scans. Yet one of the most clinically rich and...
Some of the most interesting work being built with PyTorch starts in universities, research labs, student groups, and academic institutions. A new model architecture. A library created to support a...
Fast and memory-efficient exact attention. Contribute to Dao-AILab/flash-attention development by creating an account on GitHub.
TL;DR To achieve state-of-the-art performance at the frontier, vLLM is changing its internal implementation in ways that make it incompatible with fullgraph torch.compile. This may have consequences for users who...
TL;DR: This case study explores how Shopify compresses production failures into model weights every day, beats frontier-model quality, and cuts serving costs 96% by building a continual learning loop with...
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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