DeepSeek released an experimental model called DeepSeek-V3.2-Exp on September 29, 2025, introducing a new sparse-attention mechanism (DeepSeek Sparse Attention, or DSA) that targets much lower inference costs for long-context workloads — and the company simultaneously cut API prices by roughly half. This guide explains what the model is, the architecture/feature highlights, how to access and […]
DeepSeek-V3.1-Terminus is the most recent refinement of the DeepSeek family — a hybrid, agent-oriented large language model (LLM) that DeepSeek positions as a bridge between traditional chat models and more capable agentic systems. Rather than a brand-new base network, Terminus is presented as a targeted service-pack style update to the V3.1 line that focuses on […]
DeepSeek-V3.1 is a hybrid “thinking / non-thinking” MoE language model (671B total, ≈37B activated per token) that can be run locally if you use the right provider/quantization and tooling. Below I explain what DeepSeek-V3.1 is, the hardware/software requirements, step-by-step local run tutorials (Ollama + llama.cpp examples), and how to deploy and use Thinking Mode (the […]
DeepSeek has rapidly emerged as one of the most talked‑about generative AI applications of 2025, but its meteoric rise has been accompanied by considerable debate over its safety, security, and privacy implications. In this article, we explore the multifaceted question of whether it is truly safe—examining its origins, data practices, security incidents, and the responses […]
DeepSeek R1 has rapidly emerged as one of the most capable open‑source reasoning models, boasting impressive benchmarks across mathematics, coding and complex instruction following. Yet, harnessing its full potential requires a clear understanding of the computational resources and costs involved. This article delves into “how much to run DeepSeek R1,” exploring its architecture, hardware requirements, […]
DeepSeek has rapidly emerged as a leading AI-powered visual search and analysis platform, enabling users to process and interpret images with remarkable speed and accuracy. As its popularity grows, so does the need to understand the practical limits and evolving capabilities of the service—particularly when it comes to uploading images for analysis. This article combines […]
DeepSeek’s emergence as a cost-effective alternative to established AI models like ChatGPT has led many developers and organizations to ask: does DeepSeek impose the same kinds of usage and performance limits as ChatGPT? This article examines the latest developments surrounding DeepSeek, compares its limitations with those of ChatGPT, and explores how these constraints shape user […]
DeepSeek, a Chinese AI startup that first made headlines with its R1 reasoning model in early 2025, has sparked intense debate over the state of open-source AI and its broader implications. While much of the attention has centered on its impressive performance—rivaling models from U.S. firms like OpenAI and Alibaba—questions remain about whether DeepSeek is […]
Janus-Pro, DeepSeek’s latest multimodal AI model, has rapidly emerged as a cornerstone technology in the modern generative AI landscape. Released on January 27, 2025, Janus-Pro brings substantial improvements in both image generation fidelity and multimodal understanding, positioning itself as a formidable alternative to entrenched models such as DALL·E 3 and Stable Diffusion 3 Medium . […]
DeepSeek’s Janus Pro represents a significant stride in open-source multimodal AI, delivering advanced text-to-image capabilities that rival proprietary solutions. Unveiled in January 2025, Janus Pro combines optimized training strategies, extensive data scaling, and model architecture enhancements to achieve state-of-the-art performance on benchmark tasks. This comprehensive article examines what Janus Pro is, how it works, how […]
