DeepSeek

Latest AI news, models and releases from DeepSeek. ['DeepSeek', 'DeepSeek 3.1', 'DeepSeek-4-pro', 'DeepSeek API', 'deepseek-coder-v2', 'DeepSeek-Coder-V2-Lite', 'DeepSeek-GRM', 'DeepSeekMath-V2', 'DeepSeekMoE', 'DeepSeek-Prover-V1.5-Base', 'DeepSeek-Prover-V2', 'DeepSeek-Prover-V2-671B', 'DeepSeek-Prover-V2-7B', 'DeepSeek R1', 'DeepSeek-R1', 'DeepSeek R1-0528', 'DeepSeek-R1-0528', 'DeepSeek-R1-671B', 'DeepSeek-R1-Distilled-Llama-70B', 'DeepSeek-R1-Distilled-Qwen-32B', 'DeepSeek-R1-Distill-Qwen-32B', 'DeepSeek-R1-Zero', 'DeepSeek R2', 'DeepSeek-R2', 'DeepSeek Sparse Attention (DSA)', 'DeepSeek-V2', 'DeepSeek-V2.5', 'DeepSeek V3', 'DeepSeek-V3', 'DeepSeek V3.1', 'DeepSeek V3.1-Terminus', 'DeepSeek v3.2', 'DeepSeek V3.2', 'DeepSeek-V3.2', 'DeepSeek V3.2-Exp', 'DeepSeek-V3-Base', 'DeepSeek V3/R1', 'DeepSeek v4', 'DeepSeek V4', 'DeepSeek-V4']

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Open Source 🇺🇸

NVIDIA NeMo AutoModel Accelerates MoE Fine-Tuning 3.7x with Expert Parallelism and DeepEP

NVIDIA has introduced NeMo AutoModel, an open library that builds on Hugging Face Transformers v5, delivering 3.4-3.7x higher training throughput and 29-32% less GPU memory for MoE models via Expert Parallelism, DeepEP fused all-to-all dispatch, and TransformerEngine kernels—using the same from_pretrained() API with only an import change.

NVIDIA

Hugging Face

Moonshot AI

DeepSeek

Hugging Face blog27.07 · 10:04

Models 🇨🇳

From DeepSeek to K3: How Chinese Large Language Models Enter the Global Top League

Chinese large language models (LLMs) are rapidly advancing, with models like DeepSeek and K3 from Moonshot AI reaching the level of global leaders. The article analyzes how Chinese companies are closing the gap with Western competitors.

Moonshot AI

DeepSeek

DeepSeek (GNews)27.07 · 10:04

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