Qwen 3.5 4B
Developer to Train a 4B Model into a Specialized Coding Agent
A developer will use Qwen 3.5 4B to train an agent for coding tasks, showing that specialized data and clear scope can rival scale.
Back to home
reinforcement learning
4 articles tagged with this topic
NVIDIA
NVIDIA’s Reshard Collective Speeds Up RL Weight Syncing—and Shifts the Bottleneck
NVIDIA’s Reshard Collective speeds weight synchronization in RL post-training, turning GPU sync efficiency into a new bottleneck in training speed and
quant trading
AI Quant Trading Goes Open Source: Tech Barrier Falls, Profit Barrier Doesn't
A Juejin AI quant tutorial goes viral: full code from data to RL live trading. Does the retail-institution gap shrink when tech barriers collapse?
vLLM
vLLM V1 Skews RL Results: Why Inference Correctness Beats Speed
Upgrading vLLM from V0 to V1 causes output inconsistencies in RL. If inference frameworks trade accuracy for speed, dependent models silently drift.