Can Miles Make Large-Scale LLM RL Post-Training Practical for the Enterprise?
The post Can Miles Make Large-Scale LLM RL Post-Training Practical for the Enterprise? appeared first on Futurum . RadixArk's Miles framework tackles the enterprise AI adoption barrier by composing…
Read the full articleYou might also wanna read
Miles: An Open-Source PyTorch-Native Framework for Large-Scale LLM RL Post-Training
Miles is RadixArk’s open source framework for large-scale LLM RL post-training. It composes SGLang for rollout, NVIDIA Megatron-LM for train
PyTorch·10d agoMiles: An Open-Source PyTorch-Native Framework for Large-Scale LLM RL Post-Training
Miles is RadixArk’s open source framework for large-scale LLM RL post-training. It composes SGLang for rollout, NVIDIA Megatron-LM for train
pytorch.org·10d ago
PostTrainBench: How Far Can AI Agents Go in Automating LLM Post-Training?
Introduction Post-training is where the real cost of LLM development lives. Taking a pretrained base model and turning it into something act
Strategies for Scaling LLMs to Larger Codebases Through Guidance and Oversight
Where to focus investments to best leverage AI tooling
blog.kierangill.xyz·6mo agoWe Benchmarked Our AI Agent Against Its Own Local LLM and the Results Blew Us Away
We ran 18 tests across 3 models: a cloud frontier model and two local LLMs on our own hardware. The $0 local model tied the cloud. Here's th
2025 LLM Paradigm Shifts: Key Technological Advances in Large Language Models
2025 Year in Review of LLM paradigm changes
karpathy.bearblog.dev·6mo agoLocal LLM Setup Cost Effective Guide - Run AI Models Without Expensive Hardware
Master cost-effective local LLM deployment using cloud development environments, model quantization, and optimization techniques that make A
Comments
Sign in to join the conversation.
No comments yet. Be the first.