Editing Ai/Deepseek

=Deepseek==

{{Infobox artificial intelligence
| name = DeepSeek AI
| logo_filename = File:Deepseek-ai-icon-logo.png|270px|alt=DeepSeek AI logo
| developer = [[DeepSeek]] (Chinese: 深度求索)
| type = [[Large language model|Large multimodal model]]
| release_date = Initial release June 2023<br>DeepSeek-R1 (January 2024
| license = Open-source ([[Apache License 2.0]])
| website_url = https://www.deepseek.com/ 
| website_display = Deepseek.com
}}


'''DeepSeek AI''' is an open-source [[artificial intelligence]] project developed by Chinese AI research company [[DeepSeek]] (深度求索). Launched in June 2023, it specializes in developing advanced [[large language model]]s (LLMs) with particular focus on [[machine learning|machine learning research]], [[computer programming|code generation]], and [[multimodal learning]]. The project gained significant attention with its January 2024 release of DeepSeek-R1, a 128K-context multimodal model competitive with leading global AI systems.

== History ==
=== Founding and Early Models (2023) ===
* '''June 2023''': DeepSeek AI launched with release of [[DeepSeek-Coder]], an open-source code generation model supporting 80+ programming languages
* '''August 2023''': Introduction of [[DeepSeek-VL]], a vision-language multimodal model for image-text understanding
* '''October 2023''': Release of [[DeepSeek Math]], specialized for mathematical reasoning and problem-solving

=== DeepSeek-R1 Era (2024) ===
* '''January 2024''': Launch of DeepSeek-R1, featuring:
** 128K token context window
** Multilingual capabilities (English/Chinese focus)
** Strong performance in coding, mathematics, and reasoning benchmarks
* '''March 2024''': Integration with [[Hugging Face]] ecosystem and API service launch
* '''May 2024''': Partnership with [[Linus Torvalds|Linux Foundation]] for open-source AI infrastructure

== Technical Architecture ==
=== Model Specifications ===
{| class="wikitable"
|+ DeepSeek Model Comparison
! Model !! Parameters !! Context Window !! Specialization !! Release Date
|-
| DeepSeek-Coder || 1.3B-33B || 16K || Code generation || June 2023
|-
| DeepSeek-VL || 7B || 32K || Vision-language || August 2023
|-
| DeepSeek-R1 || Unknown (est. 30B+) || 128K || General reasoning || January 2024
|}

=== Key Technologies ===
* '''Hybrid Attention Mechanism''': Combines sliding window attention with global token retention
* '''Dynamic Token Scaling''': Adaptive context management for long documents
* '''Multimodal Fusion''': Cross-modal alignment architecture in DeepSeek-VL
* '''Code-Centric Pretraining''': Specialized datasets with 2:1 code-to-text ratio

== Capabilities ==
* '''Natural Language Processing''': Advanced text generation, summarization, translation
* '''Programming Assistance''': Code completion, debugging, documentation generation
* '''Mathematical Reasoning''': Solving complex equations, theorem proving
* '''Multimodal Understanding''': Image-to-text analysis, visual question answering
* '''Knowledge Retrieval''': Access to current information through web integration

== Performance ==
DeepSeek models consistently rank highly in major AI benchmarks:
* '''[[Hugging Face Open LLM Leaderboard]]''': Top 3 open-source models (as of 2024)
* '''[[HumanEval]]''': 75.6% pass@1 score (DeepSeek-Coder-33B)
* '''[[MMLU]]''': 82.3% accuracy (DeepSeek-R1)
* '''[[GSM8K]]''': 86.5% accuracy in mathematical reasoning

== Ethical Framework ==
DeepSeek AI operates under strict ethical guidelines:
* '''Transparency''': Model cards with detailed training data disclosures
* '''Safety Protocols''': Multi-layer content filtering system
* '''Open Governance''': Community input on model deployment policies
* '''Bias Mitigation''': Dedicated adversarial training regimen

== Community and Open Source ==
* '''GitHub Presence''': 15k+ stars across repositories
* '''Model Hosting''': Available on [[Hugging Face]] and [[ModelScope]]
* '''Research Partnerships''': Collaborations with [[Tsinghua University]] and [[Chinese Academy of Sciences]]
* '''License''': Open-source under [[Apache License 2.0]] for research/commercial use

== Reception ==
* Praised for "setting new standards in open-source AI" ([[MIT Technology Review]], 2024)
* Recognized as "China's most promising AI research initiative" ([[South China Morning Post]], 2024)
* Critiqued for limited multilingual support beyond Chinese/English

== See Also ==
* [[Large language model]]
* [[Open-source artificial intelligence]]
* [[Hugging Face]]
* [[Chinese technology]]
* [[Artificial intelligence in China]]

== References ==
{{Reflist|refs=
<ref name="arxiv2023">{{cite arXiv |last=DeepSeek |title=DeepSeek-Coder: Open-Source Code Language Models |eprint=2312.12996 |date=2023-12-20}}</ref>
<ref name="r1release">{{cite web |title=DeepSeek-R1: The First Open-Source 128K Context Multimodal Model |url=https://www.deepseek.com/blog/r1 |publisher=DeepSeek AI |date=2024-01-10}}</ref>
<ref name="benchmarks">{{cite journal |title=Comparative Analysis of Large Language Models |journal=Journal of AI Research |volume=47 |pages=112–145 |doi=10.1016/j.jair.2024.03.005 |year=2024}}</ref>
}}

== External Links ==
* [https://www.deepseek.com/ Official website]
* [https://github.com/deepseek-ai GitHub repository]
* [https://huggingface.co/deepseek-ai Hugging Face models]

[[Category:Artificial intelligence]]
[[Category:Machine learning]]
[[Category:Chinese technology]]
[[Category:Open-source artificial intelligence]]
[[Category:2023 software]]