Give Me 15 Minutes, I'll Provide you with The Truth About Deepseek > 자유게시판

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Later in March 2024, DeepSeek tried their hand at imaginative and prescient models and launched DeepSeek-VL for prime-quality imaginative and prescient-language understanding. In January 2024, this resulted in the creation of extra superior and environment friendly fashions like DeepSeekMoE, which featured a complicated Mixture-of-Experts structure, and a brand new version of their Coder, DeepSeek-Coder-v1.5. Transformer architecture: At its core, DeepSeek-V2 uses the Transformer architecture, which processes text by splitting it into smaller tokens (like words or subwords) after which uses layers of computations to know the relationships between these tokens. This makes it extra environment friendly because it does not waste resources on unnecessary computations. Learn extra about prompting below. The larger mannequin is more highly effective, and its structure is based on DeepSeek's MoE strategy with 21 billion "lively" parameters. Traditional Mixture of Experts (MoE) structure divides tasks amongst a number of professional fashions, deciding on probably the most relevant expert(s) for every input using a gating mechanism. The router is a mechanism that decides which expert (or consultants) ought to handle a specific piece of information or job. DeepSeek-V2 introduces Multi-Head Latent Attention (MLA), a modified attention mechanism that compresses the KV cache right into a a lot smaller type. It has the ability to assume through a problem, producing much greater quality outcomes, notably in areas like coding, math, and logic (but I repeat myself).

DeepSeek-Coder-V2 is the primary open-source AI model to surpass GPT4-Turbo in coding and math, which made it some of the acclaimed new models. Released in full on January 21, R1 is DeepSeek's flagship reasoning model, which performs at or above OpenAI's lauded o1 model on a number of math, coding, and reasoning benchmarks. The performance of DeepSeek-Coder-V2 on math and code benchmarks.