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Machine Heart
Machine Heart
Apr 27, 2026 · Artificial Intelligence

ACL 2026: Unveiling a Predictive Scaling Law for Reinforcement Learning Fine‑Tuning of Large Models

The paper presents a systematic empirical study that derives a power‑law scaling formula for reinforcement‑learning‑after‑training of large language models, demonstrating accurate inter‑ and intra‑model performance prediction, learning‑efficiency saturation, data‑reuse benefits, and cross‑architecture validity.

Data ReuseLarge Language ModelsLlama 3
0 likes · 11 min read
ACL 2026: Unveiling a Predictive Scaling Law for Reinforcement Learning Fine‑Tuning of Large Models
Fun with Large Models
Fun with Large Models
Jun 12, 2025 · Artificial Intelligence

Implement GRPO to Give LLMs Reasoning Ability with Qwen2.5‑0.5B

This article explains the GRPO reinforcement‑learning algorithm, shows its core idea of internal group competition without a separate evaluator model, and provides a complete, step‑by‑step code walkthrough—including environment setup, dataset preparation, reward‑function design, training configuration, and evaluation—using the Qwen2.5‑0.5B‑Instruct model on the GSM8K math dataset.

GRPOGSM8KQwen2.5
0 likes · 23 min read
Implement GRPO to Give LLMs Reasoning Ability with Qwen2.5‑0.5B
NewBeeNLP
NewBeeNLP
Dec 23, 2024 · Artificial Intelligence

What’s New in Qwen2.5? A Deep Dive into the Latest LLM Advances

The Qwen2.5 Technical Report introduces a new series of large language models with up to 72 B parameters, expanded pre‑training data to 18 trillion tokens, advanced supervised fine‑tuning and reinforcement learning pipelines, and demonstrates strong performance across comprehension, reasoning, coding, and long‑context tasks.

Fine-tuningLLMQwen2.5
0 likes · 5 min read
What’s New in Qwen2.5? A Deep Dive into the Latest LLM Advances