Workflow
DEEPSEEK V3
icon
Search documents
说一下现在我做AI产品经理,使用的几个开源模型
3 6 Ke· 2025-05-14 08:34
Core Insights - The article discusses the importance of AI model selection for product managers, emphasizing the need for private deployment to ensure data security and customization [1][2] - It highlights the varying hardware requirements for different AI models, with specific mention of DEEPSEEK needing up to 700GB of GPU memory [1] - The article also addresses the regulatory challenges in deploying AI models in China, necessitating the use of domestic models [2] Model Selection and Rankings - A recommendation is made to refer to the LLM rankings for selecting appropriate models based on specific needs [3] - The article provides a link to Hugging Face for downloading open-source models, indicating a resource for model acquisition [5] Model Performance and Usage - The article lists various AI models suitable for different applications, including DEEPSEEK and Alibaba's Qwen3.0, noting their capabilities and hardware requirements [10][11] - It mentions that DEEPSEEK V3 is optimized for faster output, while R1 is better for deep reasoning tasks [11] - Other domestic models are also discussed, with a focus on their applicability in specific industries like healthcare and finance [12] Open-source Models for Different Platforms - The article outlines several open-source models suitable for mobile deployment, such as Microsoft's BitNet b1.58, which is designed for low-resource environments [13] - It also mentions international models like Llama 4, which supports multi-modal data integration [14] Model Mechanisms and Integration - Different models are categorized based on their functionalities, such as text generation, image generation, and speech generation, highlighting the need for multiple models to work together in complex applications [20] - The article emphasizes the increasing complexity and learning curve for AI product managers in understanding and integrating these models [20]