Media Summary: ... Yeah And what I want to introduce is some recent updates um a topic what we are moving forward on This talk addresses the Training-Inference Mismatch problem commonly encountered in A top-down, self-contained guide to RLHF, PPO, and GRPO: how

Optimizing Large Scale Llm Rl - Detailed Analysis & Overview

... Yeah And what I want to introduce is some recent updates um a topic what we are moving forward on This talk addresses the Training-Inference Mismatch problem commonly encountered in A top-down, self-contained guide to RLHF, PPO, and GRPO: how The provided source explores enhancing assembly code performance using In this video, I break down DeepSeek's Group Relative Policy In this AI Research Roundup episode, Alex discusses the paper: 'DVAO: Dynamic Variance-adaptive Advantage

This lecture (by Sean Welleck) for CMU CS 11-711, Advanced NLP covers: - At Ray Summit 2025, Haoran Li from Character AI shares how the company powers its In this AI Research Roundup episode, Alex discusses the paper: 'Bridging Offline and Online Reinforcement Learning for ... At Ray Summit 2025, Jason Lopatecki from Arize AI shares a new paradigm for iterative model improvement—Prompt Learning ... Title: The Art of Scaling Reinforcement Learning Compute for LLMs (Oct 2025) Link: Date: ... Get access to the ADVANCED-fine-tuning Repo: Consulting (Technical Assistance ...

The talk will also outline what comes next for In this AI Research Roundup episode, Alex discusses the paper: 'AutoTriton: Automatic Triton Programming with Reinforcement ... Title: Part I: Tricks or Traps? A Deep Dive into In this AI Research Roundup episode, Alex discusses the paper: 'Soft Adaptive Policy

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Optimizing Large-Scale LLM RL Training with SGLang
Evolution Strategies at Scale: LLM Fine Tuning Beyond Reinforcement Learning
Optimizing Large-Scale RL with SGLang | Chenyang Zhao | AER Labs
Optimizing Reinforcement Learning at Trillion-Parameter Scale - Songlin Jiang
RLHF, PPO & GRPO Explained: A Top-Down Guide to LLM Policy Optimization
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CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation (Feb 2026)
CMU Advanced NLP Spring 2026 (17): Reinforcement Learning II: RL for LLMs
Scaling LLM Post-Training at Character.AI | Ray Summit 2025
Optimizing RL for LLM Fine-Tuning
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Optimizing Large-Scale LLM RL Training with SGLang

Optimizing Large-Scale LLM RL Training with SGLang

... Yeah And what I want to introduce is some recent updates um a topic what we are moving forward on

Evolution Strategies at Scale: LLM Fine Tuning Beyond Reinforcement Learning

Evolution Strategies at Scale: LLM Fine Tuning Beyond Reinforcement Learning

Description: Fine-tuning

Sponsored
Optimizing Large-Scale RL with SGLang | Chenyang Zhao | AER Labs

Optimizing Large-Scale RL with SGLang | Chenyang Zhao | AER Labs

This talk addresses the Training-Inference Mismatch problem commonly encountered in

Optimizing Reinforcement Learning at Trillion-Parameter Scale - Songlin Jiang

Optimizing Reinforcement Learning at Trillion-Parameter Scale - Songlin Jiang

Optimizing

RLHF, PPO & GRPO Explained: A Top-Down Guide to LLM Policy Optimization

RLHF, PPO & GRPO Explained: A Top-Down Guide to LLM Policy Optimization

A top-down, self-contained guide to RLHF, PPO, and GRPO: how

Sponsored
Reinforcement Learning for Assembly Code Optimization with LLMs

Reinforcement Learning for Assembly Code Optimization with LLMs

The provided source explores enhancing assembly code performance using

DeepSeek's GRPO (Group Relative Policy Optimization) | Reinforcement Learning for LLMs

DeepSeek's GRPO (Group Relative Policy Optimization) | Reinforcement Learning for LLMs

In this video, I break down DeepSeek's Group Relative Policy

DVAO: Stabilizing Multi-Reward RL for LLMs

DVAO: Stabilizing Multi-Reward RL for LLMs

In this AI Research Roundup episode, Alex discusses the paper: 'DVAO: Dynamic Variance-adaptive Advantage

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation (Feb 2026)

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation (Feb 2026)

Title: CUDA Agent:

CMU Advanced NLP Spring 2026 (17): Reinforcement Learning II: RL for LLMs

CMU Advanced NLP Spring 2026 (17): Reinforcement Learning II: RL for LLMs

This lecture (by Sean Welleck) for CMU CS 11-711, Advanced NLP covers: -

Scaling LLM Post-Training at Character.AI | Ray Summit 2025

Scaling LLM Post-Training at Character.AI | Ray Summit 2025

At Ray Summit 2025, Haoran Li from Character AI shares how the company powers its

Optimizing RL for LLM Fine-Tuning

Optimizing RL for LLM Fine-Tuning

In this AI Research Roundup episode, Alex discusses the paper: 'Bridging Offline and Online Reinforcement Learning for ...

Prompt Learning: A Reinforcement Learning-Inspired Approach to AI Optimization | Ray Summit 2025

Prompt Learning: A Reinforcement Learning-Inspired Approach to AI Optimization | Ray Summit 2025

At Ray Summit 2025, Jason Lopatecki from Arize AI shares a new paradigm for iterative model improvement—Prompt Learning ...

The Art of Scaling Reinforcement Learning Compute for LLMs (Oct 2025)

The Art of Scaling Reinforcement Learning Compute for LLMs (Oct 2025)

Title: The Art of Scaling Reinforcement Learning Compute for LLMs (Oct 2025) Link: http://arxiv.org/abs/2510.13786v1 Date: ...

Reinforcement Learning for LLMs in 2025

Reinforcement Learning for LLMs in 2025

Get access to the ADVANCED-fine-tuning Repo: https://trelis.com/ADVANCED-fine-tuning/ Consulting (Technical Assistance ...

Big Techday 26: Scaling LLM-RL for the age of agents - Konstantin Dunas, Prime Intellect

Big Techday 26: Scaling LLM-RL for the age of agents - Konstantin Dunas, Prime Intellect

The talk will also outline what comes next for

AutoTriton: LLM-Powered GPU Optimization

AutoTriton: LLM-Powered GPU Optimization

In this AI Research Roundup episode, Alex discusses the paper: 'AutoTriton: Automatic Triton Programming with Reinforcement ...

Tricks or Traps? A Deep Dive into RL for LLM Reasoning (August 2025)

Tricks or Traps? A Deep Dive into RL for LLM Reasoning (August 2025)

Title: Part I: Tricks or Traps? A Deep Dive into

SAPO: Stable RL Policy Optimization for LLMs

SAPO: Stable RL Policy Optimization for LLMs

In this AI Research Roundup episode, Alex discusses the paper: 'Soft Adaptive Policy

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