Technology

Deploying Ollama DeepSeek and RAGFlow locally allows you to run powerful natural language processing (NLP) models in your own environment, enabling more efficient data processing and knowledge retrieval. Let’s get started. 1. Environment Preparation First, ensure your local machine meets the following requirements: Operating System: Linux or macOS (Windows is also supported via WSL) Python Version: 3.8 or higher GPU Support (optional): CUDA and cuDNN (for accelerating deep learning models) 2.

Most people are using DeepSeek wrong. After burning the midnight oil testing this thing (and drinking enough coffee to power a small nation), I’ve cracked the code. Forget everything you know about ChatGPT – this is a whole different beast. 1. The Biggest Secret: Ditch the Prompt Templates Don’t use rigid “professional prompt formulas.” DeepSeek thrives on context and purpose, not step-by-step instructions. Take it as a clever intern who needs clear goals, not micromanagement.

Working in a startup is a great experience, but it’s not always easy to find the right one. Here are some tips to help you evaluate a startup before joining: Deep Understanding of the Founding Team: You can never know too much about the founding team. Are they responsive? Can they accurately judge people? Are they humble enough to listen to others’ advice? It is recommended to directly participate in their team meetings, observe their working style, and after a few times, you can judge whether the team is reliable.