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자, 이렇게 창업한지 겨우 반년 남짓한 기간동안 스타트업 DeepSeek가 숨가쁘게 달려온 모델 개발, 출시, 개선의 역사(?)를 흝어봤는데요. 이렇게 하는 과정에서, 모든 시점의 은닉 상태들과 그것들의 계산값을 ‘KV 캐시 (Key-Value Cache)’라는 이름으로 저장하게 되는데, 이게 아주 메모리가 많이 필요하고 느린 작업이예요. 특히, DeepSeek만의 독자적인 MoE 아키텍처, 그리고 어텐션 메커니즘의 변형 MLA (Multi-Head Latent Attention)를 고안해서 LLM을 더 다양하게, 비용 효율적인 구조로 만들어서 좋은 성능을 보여주도록 만든 점이 아주 흥미로웠습니다. 을 조합해서 개선함으로써 수학 관련 벤치마크에서의 성능을 상당히 개선했습니다 - 고등학교 수준의 miniF2F 테스트에서 63.5%, 학부 수준의 ProofNet 테스트에서 25.3%의 합격률을 나타내고 있습니다. 하지만 곧 ‘벤치마크’가 목적이 아니라 ‘근본적인 도전 과제’를 해결하겠다는 방향으로 전환했고, 이 결정이 결실을 맺어 현재 DeepSeek LLM, DeepSeekMoE, DeepSeekMath, DeepSeek-VL, DeepSeek-V2, DeepSeek-Coder-V2, DeepSeek-Prover-V1.5 등 다양한 용도에 활용할 수 있는 최고 수준의 모델들을 빠르게 연이어 출시했습니다. 특히 DeepSeek-V2는 더 적은 메모리를 사용하면서도 더 빠르게 정보를 처리하는 또 하나의 혁신적 기법, MLA (Multi-Head Latent Attention)을 도입했습니다. 기존의 MoE 아키텍처는 게이팅 메커니즘 (Sparse Gating)을 사용해서 각각의 입력에 가장 관련성이 높은 전문가 모델을 선택하는 방식으로 여러 전문가 모델 간에 작업을 분할합니다. DeepSeekMoE is a sophisticated version of the MoE structure designed to enhance how LLMs handle complicated tasks.

Impressive speed. Let's look at the progressive structure beneath the hood of the latest fashions. The DeepSeek family of models presents a captivating case study, particularly in open-source development. Let’s explore the precise models within the DeepSeek household and how they handle to do all the above. Another stunning thing is that DeepSeek small models often outperform various bigger fashions. Free DeepSeek r1 to use through Platforms Like Taobao and DingTalk: You can access Qwen through varied Alibaba platforms without any additional price, making it an reasonably priced choice for startups and small companies. Free DeepSeek Chat for industrial use and totally open-supply. Whether you are automating web tasks, constructing conversational agents, or experimenting with superior AI options like Retrieval-Augmented Generation, this information gives every thing you have to get started. Miles Brundage: Recent DeepSeek and Alibaba reasoning fashions are important for reasons I’ve discussed beforehand (search "o1" and my handle) but I’m seeing some people get confused by what has and hasn’t been achieved but. Despite its recent setbacks, DeepSeek’s potential to dominate the AI panorama remains evident, and the industry is watching closely to see how the corporate navigates these challenges.

While inference-time explainability in language fashions is still in its infancy and will require important improvement to reach maturity, the baby steps we see in the present day may help result in future techniques that safely and reliably assist people. You’re making an attempt to show a theorem, and there’s one step that you assume is true, however you can’t fairly see how it’s true. DeepSeek-Coder-V2 is the primary open-supply AI model to surpass GPT4-Turbo in coding and math, which made it some of the acclaimed new fashions. DeepSeek and ChatGPT assist with coding but differ in strategy. Middleware is an open-source software designed to assist engineering leaders measure and analyze the effectiveness of their groups utilizing the DORA metrics. Qwen 2.5 provided an identical approach to o3-mini, utilizing the massive sq. and rearranging triangles whereas breaking down the steps clearly and methodically. This giant token restrict permits it to process prolonged inputs and generate more detailed, coherent responses, an important function for handling advanced queries and tasks.

DeepSeek excels in technical duties with sooner response times and lower costs, while ChatGPT presents a broader vary of options and creative capabilities. This method allows models to handle different aspects of data extra effectively, enhancing efficiency and scalability in giant-scale tasks. But, like many models, it faced challenges in computational effectivity and scalability. We're conscious of and reviewing indications that DeepSeek may have inappropriately distilled our models, and can share info as we know extra. Two outstanding players in this space are Deepseek Online chat online and ChatGPT. The freshest mannequin, launched by DeepSeek in August 2024, is an optimized version of their open-source model for theorem proving in Lean 4, DeepSeek-Prover-V1.5. This gives China’s new AI mannequin an edge for enterprises trying for prime-quality AI efficiency throughout various markets. Hence, information privacy is a bit of a concern relating to this AI model. DeepSeek-Coder-V2 모델은 수학과 코딩 작업에서 대부분의 모델을 능가하는 성능을 보여주는데, Qwen이나 Moonshot 같은 중국계 모델들도 크게 앞섭니다. 더 적은 수의 활성화된 파라미터를 가지고도 DeepSeekMoE는 Llama 2 7B와 비슷한 성능을 달성할 수 있었습니다. 공유 전문가가 있다면, 모델이 구조 상의 중복성을 줄일 수 있고 동일한 정보를 여러 곳에 저장할 필요가 없어지게 되죠.