Records found: 9
'Agent0 co-evolves a curriculum agent and an executor from the same base LLM, using sandboxed Python tool calls and ambiguity-aware RL to improve math and general reasoning without external data.'
NVIDIA's TiDAR combines one-step diffusion drafting with autoregressive verification in a single forward pass to exploit free GPU token slots and multiply tokens-per-forward by up to about 6x while preserving benchmark quality.
'NVIDIA's Reinforcement Learning Pretraining (RLP) injects dense, position-wise reinforcement into pretraining by rewarding chains-of-thought for information gain, improving reasoning and data efficiency across architectures.'
'A concise 2025 guide to the top local LLMs, comparing context lengths, VRAM needs, quant presets, and license implications for practical on-prem deployments.'
Alibaba's Qwen team published FP8-quantized checkpoints for Qwen3-Next-80B-A3B (Instruct and Thinking), enabling more efficient long-context inference and practical deployment of an 80B/3B-active hybrid MoE on commodity GPUs
‘Selective training on high-entropy tokens in LLMs improves reasoning performance and reduces computational costs, setting new benchmarks on AIME tests.’
Alibaba's Qwen Team has released the Qwen3-Embedding and Qwen3-Reranker series, offering state-of-the-art open-source multilingual embedding and ranking models that outperform existing solutions.
Alibaba launches Qwen3, an innovative open-source AI series blending fast and deliberate reasoning, challenging ChatGPT and Google’s AI supremacy.
Alibaba's Qwen3 introduces a new generation of large language models that excel in hybrid reasoning, multilingual understanding, and efficient scalability, setting new standards in AI performance.