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Mixture of experts

Dramatically Reduce Inference Costs with DeepSeek-V3: A New Era in Open-Source LLMs

Dramatically Reduce Inference Costs with DeepSeek-V3: A New Era in Open-Source LLMs

Introduction DeepSeek-V3 has emerged as the new heavy weight for open-source enthusiasts and enterprise users alike. Developed by a Chinese AI research company with a commitment to an

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1. Introduction We present DeepSeek-V3, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token. To achieve efficient inference and cost-eff ...

DeepSeek V3
DeepSeek
62.5K context $0.14/M input tokens $0.28/M output tokens
DeepSeek V3: The best Open-source LLM | by Mehul Gupta | Data Science in your pocket | Dec, 2024 | Medium

DeepSeek V3: The best Open-source LLM | by Mehul Gupta | Data Science in your pocket | Dec, 2024 | Medium

Better than Claude 3.5 Sonnet, GPT-4o, Llama3.1 405B The year is about to end and just now, China’s DeepSeek has released its open-sourced model DeepSeek-v3, which has outperformed al

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DeepSeek-VL2: Advancing Multimodal Understanding with Mixture-of-Experts Vision-Language Models

DeepSeek-VL2: Advancing Multimodal Understanding with Mixture-of-Experts Vision-Language Models

DeepSeek-VL2 represents a significant leap forward in the field of vision-language models, offering advanced capabilities for multimodal understanding. This innovative series of large Mixture-o

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DBRX is a new open source large language model developed by Databricks. At 132B, it outperforms existing open source LLMs like Llama 2 70B and Mixtral-8x7b on standard indu ...

Databricks: DBRX 132B Instruct
Databricks
32K context $1.08/M input tokens $1.08/M output tokens
Unlocking Mixture-of-Experts (MoE) LLM : Your MoE model can be embedding model for free

Unlocking Mixture-of-Experts (MoE) LLM : Your MoE model can be embedding model for free

Mixture-of-experts (MoE) LLM can be used as an embedding model for free. I recently found an interesting paper titled “Your Mixture-of-Experts LLM is Secretly an Embedding Model for Free.”

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