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LiteResearcher is a scalable reinforcement learning training framework designed for deep research agents.
Prime Intellect released prime-rl v0.6.0, enabling reinforcement learning at trillion-parameter MoE scale with sub-5-minute step times and optimized inference, training, and rollout.
An open-source repository called train-llm-from-scratch enables training billion-parameter LLMs on a single GPU, with a configurable pipeline from raw text to inference, including dataset streaming and checkpointing, under MIT License.