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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Models 🇺🇸 ⚡

From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates

DeepSeek released V3.2, an open-weight flagship model with performance comparable to GPT-5 and Gemini 3.0 Pro. The model introduces DeepSeek Sparse Attention (DSA) for efficiency, and evolves from a dedicated reasoning model (R1) to a hybrid reasoning model (V3.1, V3.2). The timeline includes V3, R1, R1-0528, V3.1, V3.2-Exp, and V3.2, with architectural highlights like Multi-Head Latent Attention (MLA) and RLVR training.

DeepSeek

Sebastian Raschka27.07 · 17:03

Research 🇺🇸

State of LLMs in 2025: Progress, Challenges, and Predictions

In 2025, LLM development was dominated by reasoning models using reinforcement learning with verifiable rewards (RLVR) and the GRPO algorithm, sparked by DeepSeek R1. Key trends include a focus on inference-time scaling, MoE architectures, and efficiency tweaks like Gated DeltaNets. Academic research highlighted GRPO variants with improvements such as zero gradient filtering and token-level loss.

DeepSeek

OpenAI

Alibaba/Qwen

Moonshot AI

NVIDIA

Google/DeepMind

Sebastian Raschka27.07 · 17:03

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